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Part II - Models and Measures

Published online by Cambridge University Press:  08 July 2022

John W. Schwieter
Affiliation:
Wilfrid Laurier University
Zhisheng (Edward) Wen
Affiliation:
Hong Kong Shue Yan University
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Print publication year: 2022

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References

References

Aboitiz, F. (2017). A brain for speech: A view from evolutionary neuroanatomy. Springer.Google Scholar
Aboitiz, F., Aboitiz, S., & García, R. R. (2010). The phonological loop: A key innovation in human evolution. Current Anthropology, 51(S1), S55S65.CrossRefGoogle Scholar
Aboitiz, F., García, R. R., Bosman, C., & Brunetti, E. (2006). Cortical memory mechanisms and language origins. Brain and Language, 98(1), 4056.Google Scholar
Anderson, S. R. (2013). What is special about the human language faculty and how did it get that way? In Botha, R. & Everaert, M. (Eds.), The evolutionary emergence of language: Evidence and inference (pp. 1841). Oxford University Press.Google Scholar
Atkinson, R. C., & Shiffrin, R. M. (1968). Human memory: A proposed system and its control processes. In Spence, K. W. & Spence, J. T. (Eds.), The psychology of learning and motivation: Advances in research and theory (Vol. 2, pp. 89195). Academic Press.Google Scholar
Baddeley, A. D. (2001). Is working memory still working? American Psychologist, 56, 851864.Google Scholar
Baddeley, A. D. (2007). Working memory, thought, and action. Oxford University Press.Google Scholar
Baddeley, A. D. (2012). Working memory: Theories, models, and controversies. Annual Review of Psychology, 63, 129.Google Scholar
Baddeley, A. D., & Hitch, G. (1974). Working memory. Psychology of Learning and Motivation, 8, 4789.Google Scholar
Baddeley, A. D., & Logie, R. H. (1999). Working memory: The multiple-component model. In Miyake, A. & Shah, P. (Eds.), Models of working memory: Mechanisms of active maintenance and executive control (p. 2861). Cambridge University Press.Google Scholar
Baddeley, A., Gathercole, S., & Papagno, C. (1998). The phonological loop as a language learning device. Psychological Review, 105(1), 158173.CrossRefGoogle ScholarPubMed
Barham, L., & Everett, D. (2020). Semiotics and the origin of language in the lower Palaeolithic. Journal of Archaeological Method and Theory, 1–45.Google Scholar
Berwick, R. C., & Chomsky, N. (2017). Why only us: Recent questions and answers. Journal of Neurolinguistics, 43, 166177.Google Scholar
Berwick, R. C., Hauser, M., & Tattersall, I. (2013). Neanderthal language? Just-so stories take center stage. Frontiers in Psychology, 4, 671.CrossRefGoogle ScholarPubMed
Bickerton, D. (2000). How protolanguage became language. In Knight, C., Studdert-Kennedy, M., & Hurford, J., The evolutionary emergence of language: Social function and the origins of linguistic form (pp. 264284). Cambridge University Press.Google Scholar
Bolhuis, J. J., Tattersall, I., Chomsky, N., & Berwick, R. C. (2014). How could language have evolved? PLoS Biology, 12(8), e1001934.Google Scholar
Botha, R. (2010). On the soundness of inferring modern language from symbolic behaviour. Cambridge Archaeological Journal, 20, 345356.Google Scholar
Botha, R., & Everaert, M. (Eds.). (2013). The evolutionary emergence of language: Evidence and inference. Oxford University Press.Google Scholar
Bramble, D. M., & Lieberman, D. E. (2004). Endurance running and the evolution of Homo. Nature, 432(7015), 345352.Google Scholar
Bruner, E. (2004). Geometric morphometrics and paleoneurology: Brain shape evolution in the genus. Homo: Journal of Human Evolution, 47, 279303.Google Scholar
Bruner, E., & Iriki, A. (2015). Extending mind, visuospatial integration, and the evolution of the parietal lobes in the human genus. Quaternary International, 369, 113.Google Scholar
Cachel, S., & Harris, J. W. (1995). Ranging patterns, land-use and subsistence in Homo erectus from the perspective of evolutionary ecology. In Bower, J. R. & Sartono, S. (Eds), Human evolution in its ecological context: Palaeo-anthropology: Evolution and ecology of Homo erectus (pp. 5265). Pithecanthropus Centennial Foundation.Google Scholar
Caplan, D., & Waters, G. S. (1995). Aphasic disorders of syntactic comprehension and working memory capacity. Cognitive Neuropsychology, 12(6), 637649.Google Scholar
Chomsky, N. (2015). Some core contested concepts. Journal of Psycholinguistic Research, 44, 91104.Google Scholar
Conway, A. R., Kane, M. J., Bunting, M. F., Hambrick, D. Z., Wilhelm, O., & Engle, R. W. (2005). Working memory span tasks: A methodological review and user’s guide. Psychonomic Bulletin & Review, 12(5), 769786.Google Scholar
Coolidge, F. L. (2014). The exaptation of the parietal lobes in Homo sapiens. Journal of Anthropological Sciences, 92, 295298.Google Scholar
Coolidge, F. L. (2019). The ultimate origins of learning and memory systems. Human Evolution, 34, 2138.Google Scholar
Coolidge, F. L. (2020). Evolutionary neuropsychology: An introduction to the evolution of the structures and functions of the human brain. Oxford University Press.Google Scholar
Coolidge, F. L., Haidle, M. N., Lombard, M., & Wynn, T. (2016). Bridging theory and bow hunting: Human cognitive evolution and archaeology. Antiquity, 90, 219228.Google Scholar
Coolidge, F. L., Overmann, K. A., & Wynn, T. (2010). Recursion: What is it? Who has it? How did it evolve? WIRE Cognitive Science, 1, 18.Google Scholar
Coolidge, F. L. & Wynn, T. (2001). Executive functions of the frontal lobes and the evolutionary ascendancy of Homo sapiens. Cambridge Archaeological Journal, 11, 255260.Google Scholar
Coolidge, F. L., & Wynn, T. (2005). Working memory, its executive functions, and the emergence of modern thinking. Cambridge Archaeological Journal, 15, 526.Google Scholar
Coolidge, F. L., & Wynn, T. (2006). The effects of the tree-to-ground sleep transition in the evolution of cognition in early Homo. Before Farming: The Archaeology and Anthropology of Hunter-Gatherers, 4, 118.CrossRefGoogle Scholar
Coolidge, F. L., & Wynn, T. (2018). The rise of Homo sapiens: The evolution of modern thinking. Oxford University Press.Google Scholar
Corballis, M. C. (2011). The recursive mind: The origins of human language, thought, and civilization. Princeton University Press.Google Scholar
Corballis, M. C. (2017). The truth about language: What it is and where it came from. University of Chicago Press.Google Scholar
Darwin, C. (1871). The descent of man, and selection in relation to sex. John Murray.Google Scholar
de Boer, B., Thompson, B., Ravignani, A., & Boeckx, C. (2020). Evolutionary dynamics do not motivate a single-mutant theory of human language. Scientific Reports, 10(1), 19.Google Scholar
Dunbar, R. I. M. (1998). The social brain hypothesis. Evolutionary Anthropology: Issues, News, and Reviews: Issues, News, and Reviews, 6(5), 178190.3.0.CO;2-8>CrossRefGoogle Scholar
Evans, P. D., Gilbert, S. L., Mekel-Bobrov, N., Vallender, E. J., Anderson, J. R., Vaez-Azizi, L. M.,…& Lahn, B. T. (2005). Microcephalin, a gene regulating brain size, continues to evolve adaptively in humans. Science, 309(5741), 17171720.CrossRefGoogle ScholarPubMed
Finlayson, C. (2019). The smart Neanderthal: Bird catching, cave art, and the cognitive revolution. Oxford University Press.Google Scholar
Fitch, W. T., Hauser, M. D., & Chomsky, N. (2005). The evolution of the language faculty: Clarifications and implications. Cognition, 97(2), 179210.CrossRefGoogle ScholarPubMed
Friedman, N. P., Miyake, A., Young, S. E., DeFries, J. C., Corley, R. P., & Hewitt, J. K. (2008). Individual differences in executive functions are almost entirely genetic in origin. Journal of Experimental Psychology: General, 137(2), 201225.Google Scholar
Gibson, K. R. (2012). Language or protolanguage? A review of the ape language literature. In Tallerman, M. & Gibson, K. R., The Oxford handbook of language evolution (pp.4658). Oxford University Press.Google Scholar
Hauser, M. D., Chomsky, N., & Fitch, W. T. (2002). The faculty of language: What is it, who has it, and how did it evolve? Science, 298(5598), 15691579.CrossRefGoogle ScholarPubMed
Jackendoff, R., & Pinker, S. (2005). The nature of the language faculty and its implications for evolution of language (Reply to Fitch, Hauser, and Chomsky). Cognition, 97(2), 211225.Google Scholar
Kane, M. J., & Engle, R. W. (2002). The role of prefrontal cortex in working-memory capacity, executive attention, and general fluid intelligence: An individual-differences perspective. Psychonomic Bulletin & Review, 9(4), 637671.Google Scholar
Klein, R. G. (2000). Archeology and the evolution of human behavior. Evolutionary Anthropology Issues News and Reviews, 9, 1736.Google Scholar
Klein, R. G. (2009). The human career: Human biological and cultural origins. University of Chicago Press.CrossRefGoogle Scholar
Lemasson, A., Ouattara, K., & Zuberbu, K. (2013). Exploring the gaps between primate calls and human language. In Botha, R. & Everaert, M. (Eds.), The evolutionary emergence of language: Evidence and inference (pp. 181203). Oxford University Press.Google Scholar
Lieberman, D., Bramble, D., Rachlen, D., & Shea, J. (2009). Brains, brawn, and the evolution of human endurance running capabilities. In Grine, F., Fleagle, J. & Leakey, R. (Eds.), The first humans: Origin and early evolution of the genus Homo (pp. 7792): Springer.Google Scholar
Luria, A. R. (1966/2012). Higher cortical functions in man. Springer.Google Scholar
Mithen, S. J. (1996). The prehistory of the mind: The cognitive origins of art, religion and science. Thames and Hudson.Google Scholar
Mithen, S. (2006). The singing Neanderthals: The origins of music, language, mind and body. Harvard University Press.Google Scholar
Neubauer, S., Hublin, J. J., & Gunz, P. (2018). The evolution of modern human brain shape. Science Advances, 4(1), eaao5961.Google Scholar
Overmann, K. A., & Coolidge, F. L. (Eds.). (2019). Squeezing minds from stones: Cognitive archaeology and the evolution of the human mind. Oxford University Press.Google Scholar
Parker, A. R. (2006). Evolving the narrow language faculty: Was recursion the pivotal step? In Smith, K. (Ed.), Proceedings of the 6th International Conference on the Evolution of Language (pp. 239246). World Scientific Publishing.Google Scholar
Pinker, S. (2007). The stuff of thought. Penguin Books.Google Scholar
Pinker, S., & Bloom, P. (1990). Natural language and natural selection. Behavioral and Brain Sciences, 13(4), 707727.Google Scholar
Pinker, S., & Jackendoff, R. (2005). The faculty of language: What’s special about it? Cognition, 95(2), 201236.Google Scholar
Price, T., Wadewitz, P., Cheney, D., Seyfarth, R., Hammerschmidt, K., & Fischer, J. (2015). Vervets revisited: A quantitative analysis of alarm call structure and context specificity. Scientific reports, 5(1), 111.Google Scholar
Rodríguez-Vidal, J., d’Errico, F., Pacheco, F. G., Blasco, R., Rosell, J., Jennings, R. P., … & Finlayson, C. (2014). A rock engraving made by Neanderthals in Gibraltar. Proceedings of the National Academy of Sciences, 111(37), 1330113306.Google Scholar
Seyfarth, R. M., Cheney, D. L., & Marler, P. (1980). Monkey responses to three different alarm calls: Evidence of predator classification and semantic communication. Science, 210 (4471) 801803.CrossRefGoogle ScholarPubMed
Schacter, D. L. (2012). Adaptive constructive processes and the future of memory. American Psychologist, 67(8), 603613. https://doi.org/10.1037/a0029869Google Scholar
Schlenker, P., Chemla, E., Arnold, K., & Zuberbühler, K. (2016). Pyow-hack revisited: Two analyses of putty-nosed monkey alarm calls. Lingua, 171, 123.Google Scholar
Scott-Phillips, T. C., & Blythe, R. A. (2013). Why is combinatorial communication rare in the natural world, and why is language an exception to this trend? Journal of the Royal Society Interface, 10(88), 20130520.Google Scholar
Shah, P., & Miyake, A. (Eds.). (2005). The Cambridge handbook of visuospatial thinking. Cambridge University Press.CrossRefGoogle Scholar
Shepard, R. N. (1997). The genetic basis of human scientific knowledge. In Chadwick, D. J. & Cardew, G., Ciba Foundation Symposium (pp. 2338). Wiley & Sons.Google Scholar
Tallerman, M. (2007). Did our ancestors speak a holistic protolanguage? Lingua, 117, 579604.CrossRefGoogle Scholar
Tallerman, M., & Gibson, K. R. (2012). Introduction: The evolution of language. Tallerman, In M. & Gibson, K. R., The Oxford handbook of language evolution (pp. 135). Oxford University Press.Google Scholar
Tattersall, I. (2008). An evolutionary framework for the acquisition of symbolic cognition by Homo sapiens. Comparative Cognition & Behavior Reviews, 3, 99114.CrossRefGoogle Scholar
Tulving, E. (1972). Episodic and semantic memory. In Tulving, E. & Donaldson, W. (Eds.), Organization of memory (pp. 381403). Academic Press.Google Scholar
Tulving, E. (1995). Organization of memory: Quo vadis? In Gazzaniga, M. S. (Ed.), The cognitive neurosciences (p. 839853). The MIT Press.Google Scholar
Tulving, E. (2002). Episodic memory: From mind to brain. Annual Review of Psychology, 53, 125.Google Scholar
Underwood, B. J. (1966). Experimental psychology. Appleton-Century-Crofts.Google Scholar
Villa, P., & Roebroeks, W. (2014). Neandertal demise: An archaeological analysis of the modern human superiority complex. PLoS ONE, 9(4), e96424.Google Scholar
Wadley, L. (2010). Compound-adhesive manufacture as a behavioral proxy for complex cognition in the Middle Stone Age. Current Anthropology, 51, S111S119.Google Scholar
Wells, J. C., & Stock, J. T. (2007). The biology of the colonizing ape. Yearbook of Physical Anthropology, 50, 191222.Google Scholar
Wilson, E. O. (1978). What is sociobiology? Society, 15(6), 1014.Google Scholar
Wynn, T. (2009). Hafted spears and the archaeology of mind. Proceedings of the National Academy of Sciences, 106, 95449545.Google Scholar
Wynn, T., & Coolidge, F. L. (2010). Beyond symbolism and language. Current Anthropology, 51, S5S16.Google Scholar
Wynn, T., & Coolidge, F. L. (2015). Technical cognition, working memory, and creativity. Pragmatics & Cognition, 22, 4563.Google Scholar

References

Aliaga-Garcìa, C., Mora, J. C., & Cervino-Provedano, E. (2010). Phonological short-term memory and L2 speech learning in adulthood. In Wrembel, M., Kul, M., & Dziubalska-Kołaczyk, K. (Eds.), New sounds 2010: Proceedings of the 6th International Symposium on the Acquisition of Second Language Speech (pp. 1924). Peter Lang.Google Scholar
Archibald, L. M., & Gathercole, S. E. (2006a). Nonword repetition in Specific Language Impairment: More than a phonological short-term memory deficit. Psychonomic Bulletin & Review, 14, 919924.Google Scholar
Archibald, L. M., & Gathercole, S. E. (2006b). Short-term and working memory in specific language impairment. International Journal of Language & Communication Disorders, 41, 675693.Google Scholar
Atkins, P. W. B., & Baddeley, A. D. (1998). Working memory and distributed vocabulary learning. Applied Psycholinguistics, 19, 537552.Google Scholar
Baddeley, A. D. (1966a). Short-term memory for word sequences as a function of acoustic, semantic and formal similarity. Quarterly Journal of Experimental Psychology, 18, 362365.Google Scholar
Baddeley, A. D. (1966b). The influence of acoustic and semantic similarity on long-term memory for word sequences. Quarterly Journal of Experimental Psychology, 18, 302309.CrossRefGoogle ScholarPubMed
Baddeley, A. D. (1993). Short-term phonological memory and longterm learning: A single case study. European Journal of Cognitive Psychology, 5, 129148.Google Scholar
Baddeley, A. D. (2003). Working memory: Looking back and looking forward. Nature, Reviews Neuroscience, 4, 829839.Google Scholar
Baddeley, A. D. (2012). Working memory: Theories, models and controversies. Annual Review of Psychology, 63, 130.Google Scholar
Baddeley, A. D., Gathercole, S. E., & Papagno, C. (1998) The phonological loop as a language learning device. Psychogical Review, 105, 158173.Google Scholar
Baddeley, A. D., & Hitch, G. (1974). Working memory. In Bower, G. A. (Ed.), Recent advances in learning and motivation (Vol. 8, pp. 4790). Academic Press.Google Scholar
Baddeley, A. D., & Hitch, G. (2019). The phonological loop as a buffer store: An update. Cortex, 112, 91106.Google Scholar
Baddeley, A. D., Lewis, V., & Vallar, G. (1984) Exploring the articulatory loop. Quarterly Journal of Experimental Psychology, 36, 233252.Google Scholar
Baddeley, A. D., Papagno, C., & Vallar, G. (1988) When long-term learning depends on short-term storage. Journal of Memory and Language, 27, 586595.Google Scholar
Baddeley, A. D., Thomson, N., & Buchanan, M. (1975). Word length and the structure of short-term memory. Journal of Verbal Learning and Verbal Behavior, 14, 575589.Google Scholar
Bartolotti, J., & Marian, V. (2017) Orthographic knowledge and lexical form influence vocabulary learning, Applied Psycholinguistics, 38, 427456.Google Scholar
Basso, A., Spinnleer, H. R., Vallar, G., & Zanobio, E. (1982) Left hemisphere damage and selective impairment of auditory-verbal short-term memory. Neuropsychologia, 20, 263274.Google Scholar
Bishop, D. V. M. (1992). The underlying nature of specific language impairment. Journal of Child Psychology and Child Psychiatry, 33, 164.Google Scholar
Bishop, D. V. M., North, T., & Donlan, C. (1996). Nonword repetition as a behavioural marker for inherited language impairment: Evidence from a twin study. Journal of Child Psychology and Psychiatry, 37, 391403.Google Scholar
Bishop, D. M. V., Snowling, M. G., Thompson, P. A., Greenhalgh, T., & the Catalise-2 Consortium. (2017) Phase 2 of CATALISE: A multinational and multidisciplinary Delphi consensus study of problems with language development: Terminology. Journal of Child Psychology and Psychiatry, 58, 10681080.Google Scholar
Bormann, T., Seyboth, M., Umarova, R., Weiller, C. (2015) “I know your name, but not your number”: Patients with short-term memory deficits are impaired in learning sequences of digits. Neuropsychologia, 72, 8086.Google Scholar
Bowey, J. A. (1996). On the association between phonological memory and receptive vocabulary in five-year-olds. Journal of Experimental Child Psychology, 63, 4478.CrossRefGoogle ScholarPubMed
Chiat, S. (2001) Mapping theories of developmental language impairment: premises, predictions and evidence. Language and Cognitive Processes, 16, 113142.Google Scholar
Conrad, R. (1964). Acoustic confusions in immediate memory. British Journal of Psychology, 55(1), 7584.Google Scholar
Conrad, R., & Hull, A. J. (1964). Information, acoustic confusion and memory span. British Journal of Psychology, 55, 429432.Google Scholar
Dispaldro, M., Leonard, L. B., & Deevy, P. (2013) Real-word and nonword repetition in Italian-speaking children with specific language impairment: A study of diagnostic accuracy. Journal of Speech, Language, and Hearing Research, 56, 323336.Google Scholar
Dittmann, J., & Abel, St. (2010) Verbales Arbeitsgedachtnis und verbales Lernen: Wort- und Pseudowortlernen in einem Fall von pathologischer Arbeitsgedachtnisbeeintrachtigung. Sprache-Stimme-Gehor, 34, e1e9.Google Scholar
Freedman, M. I., & Martin, R. C. (2001) Dissociable components of short-term memory and their relation to long-term learning. Cognitive Neuropsychology, 18 (3), 193226.Google Scholar
French, L. M., O’Brien, I (2008). Phonological memory and children’s second language grammar learning. Applied Psycholinguistics, 29 (3), 463487.Google Scholar
Gathercole, S. E. (2006) Nonword repetition and word learning: The nature of the relationship. Applied Psycholinguistics, 27, 513543.Google Scholar
Gathercole, S. E., & Adams, A. (1993). Phonological working memory in very young children. Developmental Psychology, 29, 770778.Google Scholar
Gathercole, S. E., & Adams, A. (1994). Children’s phonological working memory: Contributions of long-term knowledge and rehearsal. Journal of Memory and Language, 33, 672688.Google Scholar
Gathercole, S. E., & Baddeley, A. D. (1989) Evaluation of the role of phonological STM in the development of vocabulary in children: A longitudinal study. Journal of Memory and Language, 28, 200213.CrossRefGoogle Scholar
Gathercole, S., & Baddeley, A. (1990a). Phonological memory deficits in language disordered children: Is there a causal connection? Journal of Memory and Language, 29, 336360.Google Scholar
Gathercole, S. E., & Baddeley, A. D. (1990b) The role of phonological memory in vocabulary acquisition: A study of young children learning arbitrary names of toys. British Journal of Psychology, 81, 439454.Google Scholar
Gathercole, S. E., Frankish, C., Pickering, S. J., & Peaker, S. (1999). Phonotactic influences on short-term memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 25, 8495.Google Scholar
Gathercole, S. E., Hitch, G. J., Service, E.,& Martin, A. J. (1997). Short-term memory and new word learning in children. Developmental Psychology, 33, 966979.Google Scholar
Gathercole, S. E., Service, E., Hitch, G. J., Adams, A.-M., & Martin, A. J. (1999). Phonological short-term memory and vocabulary development: Further evidence on the nature of the relationship. Applied Cognitive Psychology, 13, 6577.3.0.CO;2-O>CrossRefGoogle Scholar
Gathercole, S. E., Tiffany, C., Briscoe, J., Thorn, A., & The ALSPAC Team. (2005). Developmental consequences of poor phonological short-term memory function in childhood: A longitudinal study. Journal of Child Psychology and Psychiatry, 46, 598611.Google Scholar
Gathercole, S. E., Willis, C., Emslie, H., & Baddeley, A. D. (1992). Phonological memory and vocabulary development during the early school years: A longitudinal study. Developmental Psychology, 28, 887898.CrossRefGoogle Scholar
Girbau, D. (2016). The nonword repetition task as a clinical marker of specific language impairment in Spanish-speaking children. First Language, 36, 3049.Google Scholar
Girbau, D., & Schwartz, R. G. (2007). Non-word repetition in Spanish-speaking children with Specific Language Impairment (SLI). International Journal of Language & Communication Disorders, 42 (1), 5975.Google Scholar
Graf Estes, K., Evans, J. L., & Else-Quest, N. M., (2007) Differences in the nonword repetition performance of children with and without specific language impairment: A meta-analysis. Journal of Speech, Language and Hearing Research, 50, 177195.Google Scholar
Gupta, P. (2003). Examining the relationship between word learning, nonword repetition, and immediate serial recall in adults. Quarterly Journal of Experimental Psychology, 56A, 12131236.Google Scholar
Gupta, P., MacWhinney, B., Feldman, H. M., & Sacco, K. (2003). Phonological memory and vocabulary learning in children with focal lesions. Brain and Language, 87, 241252.Google Scholar
Gupta, P., & Tisdale, J. (2009). Does phonological short-term memory causally determine vocabulary learning? Toward a computational resolution of the debate. Journal of Memory and Language, 61, 481502.Google Scholar
Hayashi, K., & Takahashi, N. (2020). The relationship between phonological short-term memory and vocabulary acquisition in Japanese young children. Open Journal of Modern Linguistics, 10, 132160.Google Scholar
Hayakawa, S., Bartolotti, J., & Marian, V. (2020). Native language similarity during foreign language learning: Effects of cognitive strategies and affective states. Applied Linguistics, 1–28.Google Scholar
Hummel, K. M. (2020). Phonological memory and L2 vocabulary learning in a narrated story task. Journal of Psycholinguistic Research.Google Scholar
Jackson, E., Leitao, S., & Claessen, M. (2016) The relationship between phonological short-term memory, receptive vocabulary, and fast mapping in children with specific language impairment. International Journal of Language Communication Disorders, 51, 6173.Google Scholar
Kail, R., & Leonard, L. B. (1986). Word-finding abilities in language-impaired children. (ASHA Monographs No. 25). American Speech-Language-Hearing Association.Google Scholar
Kormos, J., & Sáfár, A. (2008). Phonological short-term memory, working memory and foreign language performance in intensive language learning. Bilingualism: Language and Cognition, 11, 261271.Google Scholar
Leahy, W., & Sweller, J. (2011). Cognitive load theory, modality of presentation and the transient information effect. Applied Cognitive Psychology, 25, 943951.Google Scholar
Leonard, L. B. (2014) Children with specific language impairment (p. 480). MIT Press.Google Scholar
Linck, J. A., Osthus, P., Koeth, J. T., & Bunting, M. F. (2014). Working memory and second language comprehension and production: A meta-analysis. Psychonomic Bulletin Revue, 21, 861883.Google Scholar
Martin, K. I., & Ellis, N. C. (2012). The roles of phonological short-term memory and working memory in L2 grammar and vocabulary learning. Studies in Second Language Acquisition, 34, 379413.Google Scholar
Martin, N., & Saffran, E. (1997). Language and auditory-verbal short-term memory impairments: Evidence for common underlying processes. Cognitive Neuropsychology, 14, 641682.Google Scholar
Martin, N., Saffran, E. K., & Dell, G. (1996). Recovery in deep dysphasia: Evidence for a relation between auditory–verbal STM capacity and lexical errors in repetition. Brain and Language, 52, 83113.Google Scholar
Masoura, E. V., & Gathercole, S. E. (2005). Contrasting contributions of phonological short‐term memory and long‐term knowledge to vocabulary learning in a foreign language, Memory, 13:3–4, 422429.Google Scholar
Melby-Lervåg, M., & Lervåg, A. (2011). Cross-linguistic transfer of oral language decoding, phonological awareness and reading comprehension: A meta-analysis of the correlational evidence. Journal of Research in Reading, 34, 114135.Google Scholar
Michas, I. C., & Henry, L. A. (1994). The link between phonological memory and vocabulary acquisition. British Journal of Developmental Psychology, 12, 147164.Google Scholar
Miles, T. R., & Ellis, N. C. (1981). A lexical encoding difficulty II: Clinical observations. In Th. Pavlidis, G. and Miles, T. R. (Eds.), Dyslexia research and its applications to education. Wiley.Google Scholar
Montgomery, J. (2000). Verbal working memory in sentence comprehension in children with specific language impairment. Journal of Speech, Language, and Hearing Research, 43, 293308.Google Scholar
Næss, K-A. B., Halaas Lyster, S.-A., Hulme, C., & Melby-Lervag, M. (2011). Language and verbal short-term memory skills in children with Down syndrome: A meta-analytic review. Research in Developmental Disabilities, 32, 22252234.Google Scholar
Nicolay, A.-C., & Poncelet, M. (2013). Cognitive abilities underlying second-language vocabulary acquisition in an early second-language immersion education context: A longitudinal study. Journal of Experimental Child Psychology, 115(4), 655671.Google Scholar
O’Brien, I., Segalowitz, N., Collentine, J., & Freed, B. (2006). Phonological memory and lexical narrative, and grammatical skills in second language oral production. Applied Psycholinguistics, 27(3), 377402.Google Scholar
Papagno, C., & Cecchetto, C. (2019). Is STM involved in sentence comprehension? Cortex, 112, 8090.Google Scholar
Papagno, C., Cecchetto, C., Reati, F., & Bello, L. (2007). Processing of syntactically complex sentences relieson verbal short-term memory: Evidence from a STM patient. Cognitive Neuropsychology, 24(3), 292311.Google Scholar
Papagno, C., Lucchelli, F., & Vallar, G. (2008) Phonological recoding, visual short-term store and the effect of unattended speech. Cortex, 44, 312324.Google Scholar
Papagno, C., Valentine, T., & Baddeley, A. D. (1991). Phonological short-term memory and foreign-language learning. Journal of Memory and Language, 30, 331347.Google Scholar
Papagno, C., & Vallar, G. (1992). Phonological short-term memory and the learning of novel words: The effects of phonological similarity and item length. Quarterly Journal of Experimental Psychology, 44A, 4767.Google Scholar
Papagno, C., & Vallar, G. (1995). Verbal short-term memory and vocabulary learning in polyglots. The Quarterly Journal of Experimental Psychology, 48, 98107.Google Scholar
Ringbom, H. (2007). Actual, perceived and assumed cross-linguistic similarities in foreign language learning. AFinLan Vuosikiria, 65, 183196.Google Scholar
Serafini, E., & Sanz, C. (2016). Evidence for the decreasing impact of cognitive ability on second language development as proficiency increases. Studies in Second Language Acquisition, 38, 607646.Google Scholar
Service, E. (1992). Phonology, working memory, and foreign-language learning. Quarterly Journal of Experimental Psychology, 45A, 2150.Google Scholar
Service, E., & Craik, F. I. M. (1993). Differences between young and older adults in learning a foreign vocabulary. Journal of Memory and Language, 32, 608623.Google Scholar
Service, E. K., & Kohonen, V. (1995). Is the relation between phonological memory and foreign language learning accounted for by vocabulary acquisition? Applied Psycholinguistics, 16, 155172.Google Scholar
Shallice, T., & Papagno, C. (2019). Impairments of auditory-verbal short-term memory: Do selective deficits of the input phonological buffer exist? Cortex, 112, 107121.Google Scholar
Shallice, T., & Warrington, E. K. (1970). Independent functioning of verbal memory stores: A neuropsychological study. The Quarterly Journal of Experimental Psychology, 22(2), 261273.Google Scholar
Snowling, M. J. (2006). Nonword repetition and language learning disorders: A developmental contingency framework. Applied Psycholinguistics, 27, 588591.Google Scholar
Snowling, M., Chiat, S., & Hulme, C. (1991). Words, nonwords and phonological processes: Some comments on Gathercole, Willis, Emslie, & Baddeley. Applied Psycholinguistics, 12, 369373.Google Scholar
Speciale, G., Ellis, N. C., & Bywater, T. (2004). Phonological sequence learning and short-term store capacity determine second language vocabulary acquisition. Applied Psycholinguistics, 25, 293321.Google Scholar
Trojano, L., & Grossi, D. (1995). Phonological and lexical coding in verbal short-term memory and learning. Brain and Language, 51, 336354.Google Scholar
Trojano, L., Stanzione, M., & Grossi, L. (1992) Short-term memory and verbal learning with auditory phonological coding defect: A neuropsychological case study. Brain and Cognition, 18, 1223.Google Scholar
van der Lely, H. K. J., & Howard, D. (1993). Children with specific language impairment: Linguistic impairment or short-term memory deficit? Journal of Speech and Hearing Research, 36, 11931207.Google Scholar
Verhagen, J., & Leseman, P. P. M. (2016). How do verbal short-term memory and working memory relate to the acquisition of vocabulary and grammar? A comparison between first and second language learners. Journal of Experimental Child Psychology, 141, 6582.Google Scholar
White, M. J. (2020). Phonological working memory and non-verbal complex working memory as predictors of future English outcomes in young ELLs. International Journal of Bilingualism.Google Scholar

References

Adams, A. M. (1996). Phonological working memory and spoken language development in young children. The Quarterly Journal of Experimental Psychology Section A, 49(1), 216233.Google Scholar
Adams, E. J., & Cowan, N. (2021). The girl was watered by the flower: Effects of working memory loads on syntactic production in young children. Journal of Cognition and Development, 22(1), 125148.Google Scholar
Adams, E. J., Nguyen, A. T., & Cowan, N. (2018). Theories of working memory: Differences in definition, degree of modularity, role of attention, and purpose. Language, Speech, and Hearing Services in Schools, 49(3), 340355.Google Scholar
Atkinson, R. C., & Shiffrin, R. M. (1968). Human memory: A proposed system and its control processes. Psychology of learning and motivation, 2(4), 89195.Google Scholar
Awh, E., Barton, B., & Vogel, E. K. (2007). Visual working memory represents a fixed number of items regardless of complexity. Psychological Science, 18(7), 622628.Google Scholar
Baddeley, A. (2000). The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4(11), 417423.Google Scholar
Baddeley, A. D., & Hitch, G. (1974). Working memory. In Psychology of learning and motivation (Vol. 8, pp. 4789). Academic Press.Google Scholar
Baddeley, A. D., Thomson, N., & Buchanan, M. (1975). Word length and the structure of short‑term memory. Journal of Verbal Learning and Verbal Behavior, 14, 575589.Google Scholar
Balota, D. A., & Duchek, J. M. (1986). Voice‑specific information and the 20‑second delayed suffix effect. Journal of Experimental Psychology: Learning, Memory, and Cognition, 12, 509516.Google Scholar
Balota, D. A. (1983). Automatic semantic activation and episodic memory encoding. Journal of Verbal Learning and Verbal Behavior, 22, 88104.Google Scholar
Bergelson, E., & Swingley, D. (2012). At 6–9 months, human infants know the meanings of many common nouns. Proceedings of the National Academy of Sciences, 109(9), 32533258.Google Scholar
Bialystok, E. (1997). The structure of age: In search of barriers to second language acquisition. Second Language Research, 13(2), 116137.Google Scholar
Blake, J., Austin, W., Cannon, M., Lisus, A., & Vaughan, A. (1994). The relationship between memory span and measures of imitative and spontaneous language complexity in preschool children. International Journal of Behavioral Development, 17(1), 91107.Google Scholar
Bock, K., & Levelt, W. J. (1994). Language production: Grammatical encoding (pp. 945984). Academic Press.Google Scholar
Broadbent, D. E. (1958). Perception and communication. Pergamon Press.Google Scholar
Burns, T. C., Yoshida, K. A., Hill, K., & Werker, J. F. (2007). The development of phonetic representation in bilingual and monolingual infants. Applied Psycholinguistics, 28(3), 455474.Google Scholar
Chen, Z., & Cowan, N. (2005). Chunk limits and length limits in immediate recall: A reconciliation. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31(6), 1235.Google Scholar
Chen, Z., & Cowan, N. (2009). Core verbal working memory capacity: The limit in words retained without covert articulation. Quarterly Journal of Experimental Psychology, 62, 14201429.Google Scholar
Cherry, E. C. (1953). Some experiments on the recognition of speech, with one and with two ears. The Journal of the Acoustical Society of America, 25(5), 975979.Google Scholar
Conway, A. R., Cowan, N., & Bunting, M. F. (2001). The cocktail party phenomenon revisited: The importance of working memory capacity. Psychonomic Bulletin & Review, 8(2), 331335.Google Scholar
Cowan, N. (1988). Evolving conceptions of memory storage, selective attention, and their mutual constraints within the human information-processing system. Psychological Bulletin, 104(2), 163.Google Scholar
Cowan, N. (1999). An embedded-processes model of working memory. Models of Working Memory: Mechanisms of Active Maintenance and Executive Control, 20, 506.Google Scholar
Cowan, N. (2000). Processing limits of selective attention and working memory: Potential implications for interpreting. Interpreting, 5(2), 117146.Google Scholar
Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24(1), 87114.Google Scholar
Cowan, N. (2008). What are the differences between long-term, short-term, and working memory? Progress in Brain Research, 169, 323338.Google Scholar
Cowan, N. (2011). The focus of attention as observed in visual working memory tasks: Making sense of competing claims. Neuropsychologia, 49(6), 14011406.Google Scholar
Cowan, N. (2019). Short-term memory based on activated long-term memory: A review in response to Norris (2017). Psychological Bulletin, 145(8), 822847.Google Scholar
Cowan, N., AuBuchon, A. M., Gilchrist, A. L., Blume, C. L., Boone, A. P., and Saults, J. S. (2021). Developmental change in the nature of attention allocation in a dual task. Developmental Psychology. 57(1), 3346.Google Scholar
Cowan, N., & Barron, A. (1987). Cross-modal, auditory-visual Stroop interference and possible implications for speech memory. Perception & Psychophysics, 41(5), 393401.Google Scholar
Cowan, N., Li, Y., Glass, B., & Saults, J. S. (2018). Development of the ability to combine visual and acoustic information in working memory. Developmental Science, 21, e12635, 114.Google Scholar
Cowan, N., Lichty, W., & Grove, T. R. (1990). Properties of memory for unattended spoken syllables. Journal of Experimental Psychology: Learning, Memory, & Cognition, 16, 258269.Google Scholar
Cowan, N., Ricker, T. J., Clark, K. M., Hinrichs, G. A., & Glass, B. A. (2015). Knowledge cannot explain the developmental growth of working memory capacity. Developmental Science, 18(1), 132145.Google Scholar
Cowan, N., Rouder, J. N., Blume, C. L., & Saults, J. S. (2012). Models of verbal working memory capacity: What does it take to make them work? Psychological Review, 119, 480499.Google Scholar
Darcy, I., Park, H., & Yang, C. L. (2015). Individual differences in L2 acquisition of English phonology: The relation between cognitive abilities and phonological processing. Learning and Individual Differences, 40, 6372.Google Scholar
Dell, G. S. (1986). A spreading-activation theory of retrieval in sentence production. Psychological Review, 93(3), 283321.Google Scholar
Dell, G. S., Schwartz, M. F., Nozari, N., Faseyitan, O., & Coslett, H. B. (2013). Voxel-based lesion-parameter mapping: Identifying the neural correlates of a computational model of word production. Cognition, 128, 380396.Google Scholar
Eich, E. (1984). Memory for unattended events: Remembering with and without awareness. Memory & Cognition, 12(2), 105111.Google Scholar
Eichorn, N., Marton, K., Schwartz, R. G., Melara, R. D., & Pirutinsky, S. (2016). Does working memory enhance or interfere with speech fluency in adults who do and do not stutter? Evidence from a dual-task paradigm. Journal of Speech, Language, and Hearing Research, 59(3), 415429.Google Scholar
Elliott, E. M., Cowan, N., & Valle-Inclan, F. (1998). The nature of cross-modal color-word interference effects. Perception & Psychophysics, 60(5), 761767.Google Scholar
Ellis, N. C., & Sinclair, S. G. (1996). Working memory in the acquisition of vocabulary and syntax: Putting language in good order. The Quarterly Journal of Experimental Psychology Section A, 49(1), 234250.Google Scholar
Endress, A. D., & Potter, M. C. (2014). Large capacity temporary visual memory. Journal of Experimental Psychology: General, 143(2), 548.Google Scholar
Ferreira, F., Bailey, K. G., & Ferraro, V. (2002). Good-enough representations in language comprehension. Current Directions in Psychological Science, 11(1), 1115.Google Scholar
Ferreira, V. S., Bock, K., Wilson, M. P., & Cohen, N. J. (2008). Memory for syntax despite amnesia. Psychological Science, 19(9), 940946.Google Scholar
Forbes, P. B. R. (1933). Greek pioneers in philology and grammar. The Classical Review, 47(3), 105112.Google Scholar
Fromkin, V. A. (1973). Slips of the tongue. Scientific American, 229(6), 110117.Google Scholar
Gathercole, S. E., Pickering, S. J., Ambridge, B., & Wearing, H. (2004). The structure of working memory from 4 to 15 years of age. Developmental Psychology, 40(2), 177.Google Scholar
Gilchrist, A. L., Cowan, N., & Naveh-Benjamin, M. (2009). Investigating the childhood development of working memory using sentences: New evidence for the growth of chunk capacity. Journal of Experimental Child Psychology, 104(2), 252265.Google Scholar
Gilchrist, A. L., Cowan, N., & Naveh-Benjamin, M. (2008). Working memory capacity for spoken sentences decreases with adult ageing: Recall of fewer, but not smaller chunks in older adults. Memory, 16, 773787.Google Scholar
Gwilliams, L., Poeppel, D., Marantz, A., & Linzen, T. (2017). Phonological (un)certainty weights lexical activation. arXiv preprint arXiv:1711.06729.Google Scholar
Halford, G. S., Cowan, N., & Andrews, G. (2007). Separating cognitive capacity from knowledge: A new hypothesis. Trends in Cognitive Sciences, 11(6), 236242.Google Scholar
Hambrick, D. Z., & Engle, R. W. (2002). Effects of domain knowledge, working memory capacity, and age on cognitive performance: An investigation of the knowledge-is-power hypothesis. Cognitive Psychology, 44(4), 339387.Google Scholar
Hanulíková, A., Dediu, D., Fang, Z., Bašnaková, J., & Huettig, F. (2012). Individual differences in the acquisition of a complex L2 phonology: A training study. Language Learning, 62, 79109.Google Scholar
Hartsuiker, R. J., & Barkhuysen, P. N. (2006). Language production and working memory: The case of subject-verb agreement. Language and Cognitive Processes, 21(1–3), 181204.Google Scholar
Jalbert, A., Neath, I., & Surprenant, A. M. (2011). Does length or neighborhood size cause the word length effect? Memory & Cognition, 39(7), 11981210.Google Scholar
James, W. (1890). The principles of psychology. Henry Holt.Google Scholar
Jarvella, R. J. (1971). Syntactic processing of connected speech. Journal of Verbal Learning & Verbal Behavior, 10, 409416.Google Scholar
Jarvella, R. J. & Collas, J. G. (1974). Memory for the intentions of sentences. Memory & Cognition, 2, 185188.Google Scholar
Kemper, S., Herman, R. E., & Lian, C. H. (2003). The costs of doing two things at once for young and older adults: Talking while walking, finger tapping, and ignoring speech of noise. Psychology and Aging, 18(2), 181.Google Scholar
Kemtes, K. A., & Kemper, S. (1997). Younger and older adults’ on-line processing of syntactically ambiguous sentences. Psychology and Aging, 12(2), 362.Google Scholar
Kidd, E. (2012). Implicit statistical learning is directly associated with the acquisition of syntax. Developmental Psychology, 48(1), 171.Google Scholar
Kintsch, W. (1988). The role of knowledge in discourse comprehension: A construction-integration model. Psychological Review, 93, 163182.Google Scholar
Kintsch, W., & van Dijk, T. A. (1978). Toward a model of text comprehension and production. Psychological Review, 85, 363394.Google Scholar
Klingberg, T., Forssberg, H., & Westerberg, H. (2002). Increased brain activity in frontal and parietal cortex underlies the development of visuospatial working memory capacity during childhood. Journal of Cognitive Neuroscience, 14(1), 110.Google Scholar
Lewis-Peacock, J. A., & Postle, B. R. (2008). Temporary activation of long-term memory supports working memory. Journal of Neuroscience, 28(35), 87658771.Google Scholar
Linck, J. A., Osthus, P., Koeth, J. T., & Bunting, M. F. (2014). Working memory and second language comprehension and production: A meta-analysis. Psychonomic Bulletin & Review, 21(4), 861883.Google Scholar
Logie, R. H. (2016). Retiring the central executive. Quarterly Journal of Experimental Psychology, 69, 20932109.Google Scholar
Luck, S. J., & Vogel, E. K. (1997). The capacity of visual working memory for features and conjunctions. Nature, 390(6657), 279281.Google Scholar
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81.Google Scholar
Moray, N. (1959). Attention in dichotic listening: Affective cues and the influence of instructions. Quarterly Journal of Experimental Psychology, 11(1), 5660.Google Scholar
Nairne, J. S. (2002). Remembering over the short-term: The case against the standard model. Annual Review of Psychology, 53(1), 5381.Google Scholar
Norrman, G., & Bylund, E. (2016). The irreversibility of sensitive period effects in language development: Evidence from second language acquisition in international adoptees. Developmental Science, 19(3), 513520.Google Scholar
Ouellette, G. P. (2006). What’s meaning got to do with it: The role of vocabulary in word reading and reading comprehension. Journal of Educational Psychology, 98(3), 554.Google Scholar
Perfetti, C. (2007). Reading ability: Lexical quality to comprehension. Scientific Studies of Reading, 11(4), 357383.Google Scholar
Pitt, M. A., & Samuel, A. G. (2006). Word length and lexical activation: Longer is better. Journal of Experimental Psychology: Human Perception and Performance, 32(5), 1120.Google Scholar
Qian, D. (1999). Assessing the roles of depth and breadth of vocabulary knowledge in reading comprehension. Canadian Modern Language Review, 56(2), 282308.Google Scholar
Rhodes, S., & Cowan, N. (2018). Attention in working memory: Attention is needed but it yearns to be free. Annals of the New York Academy of Science, 1424, 5263.Google Scholar
Richardson, J. T. E., & Baddeley, A. D. (1975). The effect of articulatory suppression in free recall. Journal of Verbal Learning and Verbal Behavior, 14(6), 623629.Google Scholar
Ricker, T. J., & Cowan, N. (2014). Differences between presentation methods in working memory procedures: A matter of working memory consolidation. Journal of Experimental Psychology: Learning, Memory, and Cognition, 40(2), 417.Google Scholar
Sachs, J. S. (1967). Recognition memory for syntactic and semantic aspects of connected discourse. Perception & Psychophysics, 2, 437442.Google Scholar
Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996). Statistical learning by 8-month-old infants. Science, 274(5294), 19261928.Google Scholar
Schneider, W., & Shiffrin, R. M. (1977). Controlled and automatic human information processing: I. Detection, search, and attention. Psychological Review, 84, 166.Google Scholar
Sokolov, E. N. (1963). Perception and the conditioned reflex. Pergamon Press.Google Scholar
Soto, D., & Humphreys, G. W. (2008). Stressing the mind: The effect of cognitive load and articulatory suppression on attentional guidance from working memory. Perception & Psychophysics, 70(5), 924934.Google Scholar
Swets, B., Desmet, T., Hambrick, D. Z., & Ferreira, F. (2007). The role of working memory in syntactic ambiguity resolution: A psychometric approach. Journal of Experimental Psychology: General, 136(1), 64.Google Scholar
Thalmann, M., Souza, A. S., & Oberauer, K. (2019). How does chunking help working memory? Journal of Experimental Psychology: Learning, Memory, and Cognition, 45(1), 37.Google Scholar
Thomason, M. E., Race, E., Burrows, B., Whitfield-Gabrieli, S., Glover, G. H., & Gabrieli, J. D. (2009). Development of spatial and verbal working memory capacity in the human brain. Journal of Cognitive Neuroscience, 21(2), 316332.Google Scholar
Thompson, S. P., & Newport, E. L. (2007). Statistical learning of syntax: The role of transitional probability. Language Learning and Development, 3(1), 142.Google Scholar
Underwood, B. J. (1957). Interference and forgetting. Psychological Review, 64(1), 49.Google Scholar
Van den Noort, M. W., Bosch, P., & Hugdahl, K. (2006). Foreign language proficiency and working memory capacity. European Psychologist, 11(4), 289296.Google Scholar
Vandierendonck, A. (2016). A working memory system with distributed executive control. Perspectives on Psychological Science, 11, 74100.Google Scholar
Vogel, E. K., McCollough, A. W., & Machizawa, M. G. (2005). Neural measures reveal individual differences in controlling access to working memory. Nature, 438(7067), 500503.Google Scholar
Wood, N., & Cowan, N. (1995a). The cocktail party phenomenon revisited: Attention and memory in the classic selective listening procedure of Cherry (1953). Journal of Experimental Psychology: General, 124, 243262.Google Scholar
Wood, N., & Cowan, N. (1995b). The cocktail party phenomenon revisited: How frequent are attention shifts to one’s name in an irrelevant auditory channel? Journal of Experimental Psychology: Learning, Memory, & Cognition, 21, 255260.Google Scholar
Wood, N. L., Stadler, M. A., & Cowan, N. (1997). Is there implicit memory without attention? A re-examination of task demands in Eich’s (1984) procedure. Memory & Cognition, 25, 772779.Google Scholar
Yang, Y., Chen, M., He, W., & Merrill, E. C. (2020). The role of working memory in implicit memory: A developmental perspective. Cognitive Development, 55, 100929.Google Scholar

References

Atkinson, R. C., & Shiffrin, R. M. (1968). Human memory: A proposed system and its control processes. Psychology of Learning and Motivation, 2(4), 89195.Google Scholar
Baddeley, A. D. (1986). Working Memory. Oxford University Press.Google Scholar
Baddeley, A. (2000). The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4(11), 417423.CrossRefGoogle ScholarPubMed
Bever, T. G. (1970). The cognitive basis for linguistic structures. Cognition and the Development of Language, 279(362), 161.Google Scholar
Bilalić, M. (2017). The Neuroscience of Expertise. Cambridge University Press.Google Scholar
Bilalić, M. (2018). The double take of expertise: Neural expansion is associated with outstanding performance. Current Directions in Psychological Science, 27(6), 462469.Google Scholar
Brown, J. (1958). Some tests of the decay theory of immediate memory. Quarterly Journal of Experimental Psychology, 10(1), 1221.Google Scholar
Campitelli, G. (2015). Memory behavior requires knowledge structures, not memory stores. Frontiers in Psychology, 6, 1696.Google Scholar
Caplan, D., & Waters, G. S. (1995a). Aphasic disorders of syntactic comprehension and working memory capacity. Cognitive Neuropsychology, 12(6), 637649.Google Scholar
Caplan, D., & Waters, G. S. (1995b). On the nature of the phonological output planning processes involved in verbal rehearsal: Evidence from aphasia. Brain and Language, 48(2), 191220.Google Scholar
Caplan, D., & Waters, G. S. (1999). Verbal working memory and sentence comprehension. Behavioral and Brain Sciences, 22(1), 7794.Google Scholar
Caplan, D., & Waters, G. (2013). Memory mechanisms supporting syntactic comprehension. Psychonomic Bulletin & Review, 20(2), 243268.Google Scholar
Cavanna, A. E., & Trimble, M. R. (2006). The precuneus: A review of its functional anatomy and behavioural correlates. Brain, 129 (3), 564583.Google Scholar
Charness, N. (1976). Memory for chess positions: Resistance to interference. Journal of Experimental Psychology: Human Learning and Memory, 2(6), 641653.Google Scholar
Chase, W. G., & Ericsson, K. A. (1982). Skill and working memory. Psychology of Learning and Motivation, 16, 158.Google Scholar
Chase, W. G., & Simon, H. A. (1973). Perception in chess. Cognitive Psychology, 4(1), 5581.Google Scholar
Conway, A. R. A., & Engle, R. W. (1994). Working memory and retrieval: A resource-dependent inhibition model. Journal of Experimental Psychology: General, 123(4), 354373.Google Scholar
Coughlin, L. D., & Patel, V. L. (1987). Processing of critical information by physicians and medical students. Journal of Medical Education, 62 (10), 818828.Google Scholar
Cowan, N. (2008). What are the differences between long-term, short-term, and working memory? Progress in Brain Research, 169, 323338.Google Scholar
Crutcher, R. J., & Ericsson, K. A. (2000). The role of mediators in memory retrieval as a function of practice: Controlled mediation to direct access. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26(5), 1297.Google Scholar
Daneman, M., & Carpenter, P. A. (1980). Individual differences in working memory and reading. Journal of Verbal Learning and Verbal Behavior, 19(4), 450466.Google Scholar
Daneman, M., & Carpenter, P. A. (1983). Individual differences in integrating information between and within sentences. Journal of Experimental Psychology: Learning, Memory, and Cognition, 9(4), 561584.Google Scholar
Daneman, M., & Merikle, P. M. (1996). Working memory and language comprehension: A meta-analysis. Psychonomic Bulletin & Review, 3(4), 422433.Google Scholar
DeGroot, A. (1965). Thought and choice in chess. Mouton.Google Scholar
Delaney, P. F. (2018). The role of long-term working memory and template theory in contemporary expertise research. Journal of Expertise, 1 (3), 155161.Google Scholar
Delaney, P. F., & Ericsson, K. A. (2016). Long-term working memory and transient storage in reading comprehension: What is the evidence? Comment on Foroughi, Werner, Barragán, and Boehm-Davis (2015). Journal of Experimental Psychology: General, 145(10), 14061409.Google Scholar
Delaney, P. F., Wallander, R., & Preheim, G. A. (2018). Protocol analysis. In Dunn, D. S. (Ed.), Oxford bibliographies online: Psychology. Oxford University Press.Google Scholar
Dixon, P., & Sharma, A. (2019). Distraction and temporal order in narrative situation models. Discourse Processes, 56(5–6), 402414.Google Scholar
Engle, R. W., Cantor, J., & Carullo, J. J. (1992). Individual differences in working memory and comprehension: A test of four hypotheses. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18 (5), 972992.Google Scholar
Engle, R. W., Kane, M. J., & Tuholski, S. W. (1999). Individual differences in working memory capacity and what they tell us about controlled attention, general fluid intelligence and functions of the prefrontal cortex. In Miyake, A. & Shah, P. (Eds.), Models of working memory: Mechanisms of active maintenance and executive control (pp. 102134). Cambridge University Press.Google Scholar
Ericsson, K. A., & Delaney, P. F. (1998). Working memory and expert performance. In Logie, R., & Gilhooly, K. J. (Eds.), Working memory and thinking (pp. 93−114). Erlbaum.Google Scholar
Ericsson, K. A., & Delaney, P. F. (1999). Long-term working memory as an alternative to capacity models of working memory in everyday skilled performance. In Miyake, A. & Shah, P. (Eds.), Models of working memory: Mechanisms of active maintenance and executive control (pp. 257297). Cambridge University Press.Google Scholar
Ericsson, K. A., Delaney, P. F., Weaver, G. E., & Mahadevan, S. (2004). Uncovering the structure of a memorist’s superior “basic” memory capacity. Cognitive Psychology, 49 (3), 191237.Google Scholar
Ericsson, K. A., & Kintsch, W. (1995). Long-term working memory. Psychological Review, 102(2), 211245.Google Scholar
Ericsson, K. A., & Simon, H. A. (1993). Protocol analysis: Verbal reports as data (Rev. ed.). MIT Press.Google Scholar
Ericsson, K. A., & Staszewski, J. J. (1988). Skilled memory and expertise: Mechanisms of exceptional performance. In Klahr, D. & Kotovsky, K. J. (Eds.), Complex information processing: The impact of Herbert A. Simon (pp. 235267). Erlbaum.Google Scholar
Estevez, A., & Calvo, M. G. (2000). Working memory capacity and the time course of predictive inferences. Memory, 8(1), 5161.Google Scholar
Eva, K. W., Norman, G. R., Neville, A. J., Wood, T. J., Brooks, L. R. (2002). Expert-novice differences in memory: A reformulation. Teaching and Learning in Medicine, 14(4), 257263.Google Scholar
Ferreira, F., Henderson, J. M., Anes, M. D., Weeks, P. A., & McFarlane, D. K. (1996). Effects of lexical frequency and syntactic complexity in spoken-language comprehension: Evidence from the auditory moving-window technique. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22(2), 324335.Google Scholar
Ferstl, E. C., Neumann, J., Bogler, C., & von Cramon, D. Y. (2008). The extended language network: A meta-analysis of neuroimaging studies on text comprehension. Human Brain Mapping, 29(5), 581593.Google Scholar
Fischer, B., & Glanzer, M. (1986). Short-term storage and the processing of cohesion during reading. Quarterly Journal of Experimental Psychology, 38A(3), 431460.Google Scholar
Fletcher, C. R. (1981). Short-term memory processes in text comprehension. Journal of Verbal Learning and Verbal Behavior, 20(5), 264274.Google Scholar
Foroughi, C. K., Werner, N. E., Barragán, D., & Boehm-Davis, D. A. (2015). Interruptions disrupt reading comprehension. Journal of Experimental Psychology: General, 144(3), 704709.Google Scholar
Gauthier, I., Williams, P., Tarr, M. J., & Tanaka, J. (1998). Training “greeble” experts: A framework for studying expert object recognition processes. Vision Research, 38(15–16), 24012428.Google Scholar
Gernsbacher, M. A. (1990). Language comprehension as structure building. Erlbaum.Google Scholar
Givón, T. (1995). Coherence in text vs. coherence in mind. In Givón, T. & Gernsbacher, M. A. (Eds.), Coherence in natural text (pp. 59116). John Benjamins Publishing Company.Google Scholar
Glanzer, M., Dorfman, D., & Kaplan, B. (1981). Short-term storage in the processing of text. Journal of Verbal Learning and Verbal Behavior, 20(6), 656670.Google Scholar
Glanzer, M., Fischer, B., & Dorfman, D. (1984). Short-term storage in reading. Journal of Verbal Learning and Verbal Behavior, 23(4), 467486.Google Scholar
Gobet, F., & Simon, H. A. (1996a). Recall of rapidly presented random chess positions as a function of skill. Psychonomic Bulletin & Review, 3(2), 159163.Google Scholar
Gobet, F., & Simon, H. A. (1996b). Templates in chess memory: A mechanism for recalling several boards. Cognitive Psychology, 31(1), 140.Google Scholar
Gordon, P. C., Hendrick, R., & Levine, W. H. (2002). Memory-load interference in syntactic processing. Psychological Science, 13(5), 425430.Google Scholar
Guida, A., Gobet, F., Tardieu, H., & Nicolas, S. (2012). How chunks, long-term working memory and templates offer a cognitive explanation for neuroimaging data on expertise acquisition: A two-stage framework. Brain and Cognition, 79(3), 221244.Google Scholar
Guida, A., Gras, D., Noel, Y., Le Bohec, O., Quaireau, C., & Nicolas, S. (2013). The effect of long-term working memory through personalization applied to free recall: Uncurbing the primacy-effect enthusiasm. Memory & Cognition, 41(4), 571587.Google Scholar
Hagoort, P., Hald, L., Bastiaansen, M., & Petersson, K. M. (2004). Integration of word meaning and world knowledge in language comprehension. Science, 304(5669), 438441.Google Scholar
Jacoby, L. L., & Wahlheim, C. N. (2013). On the importance of looking back: The role of recursive remindings in recency judgments and cued recall. Memory & Cognition, 41(5), 625637.Google Scholar
James, A. N., Fraundorf, S. H., Lee, E. K., & Watson, D. G. (2018). Individual differences in syntactic processing: Is there evidence for reader-text interactions? Journal of Memory and Language, 102, 155181.Google Scholar
Johnson-Laird, P. N. (1983). Mental models. Erlbaum.Google Scholar
Kane, M. J., & Engle, R. W. (2003). Working-memory capacity and the control of attention: The contributions of goal neglect, response competition, and task set to Stroop interference. Journal of Experimental Psychology: General, 132(1), 4770.Google Scholar
King, J., & Just, M. A. (1991). Individual differences in syntactic processing: The role of working memory. Journal of Memory and Language, 30(5), 580602.Google Scholar
Kintsch, W. (1988). The use of knowledge in discourse processing: A construction-integration model. Psychological Review, 95(2), 163182Google Scholar
Kintsch, W. (1988). The role of knowledge in discourse comprehension: A construction-integration model. Psychological Review, 95(2), 163182.Google Scholar
Kintsch, W. (1992a). A cognitive architecture for comprehension. In Pick, H. L. Jr., van den Broek, P., & Knill, D. (Eds.), Cognition: Conceptual and methodological issues (pp. 143164). American Psychological Association.Google Scholar
Kintsch, W. (1992b). How readers construct situation models for stories: The role of syntactic cues and causal inferences. In Healy, A. F., Kosslyn, S. M., & Shiffrin, R. M. (Eds.), From learning processes to cognitive processes: Essays in honor of William K. Estes (pp. 261278). Erlbaum.Google Scholar
Kintsch, W. (1994a). Discourse processes. In d’Ydewalle, G., Eelen, P., & Bertelson, P. (Eds.), Current advances in psychological science: An international perspective (Vol. 2, pp. 135155). Erlbaum.Google Scholar
Kintsch, W. (1994b). Text comprehension, memory, and learning. American Psychologist, 49(4), 294303.Google Scholar
Kintsch, W., Patel, V. L., & Ericsson, K. A. (1999). The role of long-term working memory in text comprehension. Psychologia, 42(4), 186198.Google Scholar
Kintsch, W, & Welsch, D. M. (1991). The construction-integration model: A framework for studying memory for text. In Hockley, W. E. & Lewandowsky, S. (Eds.), Relating theory and data: Essays on human memory in honor of Bennett B. Murdoch (pp. 367385). ErlbaumGoogle Scholar
Kintsch, W., Welsch, D., Schmalhofer, F., & Zimny, S. (1990). Sentence memory: A theoretical analysis. Journal of Memory and Language, 29(2), 133159.Google Scholar
Klein, K. A., Shiffrin, R. M., & Criss, A. H. (2007). Putting context in context. In Nairne, J. S. (Ed.), The foundations of remembering: Essays in honor of Henry L. Roediger III (p. 171189). Psychology Press.Google Scholar
Kutas, M., & Federmeier, K. D. (2011). Thirty years and counting: Finding meaning in the N400 component of the event related brain potential (ERP). Annual Review of Psychology, 62, 621647.Google Scholar
Lehman, M., & Karpicke, J. D. (2016). Elaborative retrieval: Do semantic mediators improve memory? Journal of Experimental Psychology: Learning, Memory, and Cognition, 42(10), 15731591.Google Scholar
MacDonald, M. C., Just, M. A., & Carpenter, P. A. (1992). Working memory constraints on the processing of syntactic ambiguity. Cognitive Psychology, 24(1), 5698.Google Scholar
McElree, B., & Dyer, L. (2013). Beyond capacity: the role of memory processes in building linguistic structure in real time. In Sanz, M., Laka, I., and Tanenhaus, M. K (Eds.), Language down the garden path: The cognitive and biological basis for linguistic structures (pp. 229240). Oxford University Press.Google Scholar
McGugin, R. W., Gatenby, J. C., Gore, J. C., & Gauthier, I. (2012). High-resolution imaging of expertise reveals reliable object selectivity in the fusiform face area related to perceptual performance. Proceedings of the National Academy of Sciences, 109(42), 1706317068.Google Scholar
McVay, J. C., & Kane, M. J. (2010). Adrift in the stream of thought: The effects of mind wandering on executive control and working memory capacity. In Gruszka, A., Matthews, G., & Szymura, B. (Eds.), Handbook of individual differences in cognition (pp. 321334). Springer.Google Scholar
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 8197.Google Scholar
Miller, J. R., & Kintsch, W. (1980). Readability and recall for short passages: A theoretical analysis. Journal of Experimental Psychology: Human Learning and Memory, 6(4), 335354.Google Scholar
Myers, J. L., O’Brien, E. J., Balota, D. A., & Toyofuku, M. L. (1984). Memory search without interference: The role of integration. Cognitive Psychology, 16 (2), 217242.Google Scholar
Neath, I., Brown, G. D. A., Poirier, M., & Fortin, C. (2005). Short-term and working memory: Past, progress, and prospects. Memory, 13(3/4), 225235.Google Scholar
Newell, A., & Simon, H. A. (1972). Human problem solving. Prentice-Hall.Google Scholar
Perfetti, C. A., & Lesgold, A. M. (1977). Discourse comprehension and sources of individual differences. In Just, M. A. & Carpenter, P. A. (Eds.), Cognitive processes in comprehension (pp. 165). Erlbaum.Google Scholar
Peterson, L., & Peterson, M. J. (1959). Short-term retention of individual verbal items. Journal of Experimental Psychology, 58(3), 193198.Google Scholar
Pettijohn, K. A., & Radvansky, G. A. (2016). Narrative event boundaries, reading times, and expectation. Memory & Cognition, 44(7), 10641075.Google Scholar
Reder, L. M., & Anderson, J. R. (1980). A partial resolution of the paradox of interference: The role of integrating knowledge. Cognitive Psychology, 12(4), 447472.Google Scholar
Sachs, J. S. (1967). Recognition memory for syntactic and semantic aspects of connected discourse. Perception & Psychophysics, 2(9), 437442.Google Scholar
Sahakyan, L., Delaney, P. F., Foster, , & Abushanab, B. (2013). List-method directed forgetting in cognitive and clinical research: A theoretical and methodological review. Psychology of Learning and Motivation, 59, 131189.Google Scholar
Schneider, W., & Shiffrin, R. M. (1977). Controlled and automatic human information processing: I. Detection, search, and attention. Psychological Review, 84(1), 166.Google Scholar
Shiffrin, R. M., & Schneider, W. (1977). Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory. Psychological Review, 84(2), 127190.Google Scholar
Singer, M. (1990). Psychology of language: An introduction to sentence and discourse processes. Erlbaum.Google Scholar
Speer, N. K., Reynolds, J. R., Swallow, K. M., & Zacks, J. M. (2009). Reading stories activates neural representations of visual and motor experiences. Psychological Science, 20(8), 989999.Google Scholar
Speer, N. K., Reynolds, J. R., & Zacks, J. M. (2007). Human brain activity time-locked to narrative event boundaries. Psychological Science, 18(5), 449455.Google Scholar
Trabasso, T., & Suh, S. Y. (1993). Using talk-aloud protocols to reveal inferences during comprehension of text. Discourse Processes, 16(1), 334.Google Scholar
Unsworth, N., Fukuda, K., Awh, E., & Vogel, E. K. (2014). Working memory and fluid intelligence: Capacity, attention control, and secondary memory retrieval. Cognitive Psychology, 71, 126.Google Scholar
Unsworth, N., Spillers, G. J., & Brewer, G. A. (2012). Working memory capacity and retrieval limitations from long-term memory: An examination of differences in accessibility. Quarterly Journal of Experimental Psychology, 65(12), 23972410.Google Scholar
van Dijk, T. A., & Kintsch, W. (1983). Strategies of discourse comprehension. Academic Press.Google Scholar
Wahlheim, C. N., & Jacoby, L. (2013). Experience with proactive interference diminishes its effects: Mechanisms of change. Memory & Cognition, 39(2), 185195.Google Scholar
Wanner, H. E., & Maratsos, M. (1978). An ATN approach to comprehension. In Halle, M. A., Bresnan, J., & Miller, G. A. (Eds.), Linguistic theory and psychological reality (pp. 119161). MIT Press.Google Scholar
Waters, G. S., & Caplan, D. (1995). What the study of patients with speech disorders and of normal speakers tells us about the nature of rehearsal. In Campbell, R. and Conway, M. (Eds.), Broken memories: Case studies in memory impairment (pp. 302330). Blackwell.Google Scholar
Whitney, C., Huber, W., Klann, J., Weis, S., Krach, S., & Kircher, T. (2009). Neural correlates of narrative shifts during auditory story comprehension. NeuroImage, 47(1), 360366.Google Scholar
van Berkum, J. J. A., Zwitserlood, P., Hagoort, P., & Brown, C. M. (2003). When and how do listeners relate a sentence to the wider discourse? Evidence from the N400 effect. Cognitive Brain Research, 17(3), 701718.Google Scholar
Zwaan, R. A. (1994). Effect of genre expectations on text comprehension. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20(4), 920933.Google Scholar
Zwaan, R.A. (2004). The immersed experiencer: Toward an embodied theory of language comprehension. Psychology of Learning and Motivation, 44, 3562.Google Scholar
Zwaan, R. A., Langston, M. C., & Graesser, A. C. (1995). The construction of situation models in narrative comprehension: An event-indexing model. Psychological Science, 6(5), 292297.Google Scholar
Zwaan, R. A., Magliano, J. P., & Graesser, A. C. (1995). Dimensions of situation model construction in narrative comprehension. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21(2), 386397.Google Scholar
Zwaan, R. A., & Radvansky, G. A. (1998). Situation models in language comprehension and memory. Psychological Bulletin, 123(2), 162185.Google Scholar

References

Abutalebi, J., Canini, M., Della Rosa, P. A., Green, D. W., & Weekes, B. S. (2015). The neuroprotective effects of bilingualism upon the inferior parietal lobule: A structural neuroimaging study in aging Chinese bilinguals. Journal of Neurolinguistics, 33, 313. https://doi.org/10.1016/j.jneuroling.2014.09.008Google Scholar
Abutalebi, J., Canini, M., Della Rosa, P. A., Sheung, L. P., Green, D. W., & Weekes, B. S. (2014). Bilingualism protects anterior temporal lobe integrity in aging. Neurobiology of Aging, 35(9), 21262133. https://doi.org/10.1016/j.neurobiolaging.2014.03.010Google Scholar
Acheson, D. J., Hamidi, M., Binder, J. R., & Postle, B. R. (2011). A common neural substrate for language production and verbal working memory. Journal of Cognitive Neuroscience, 23(6), 13581367. https://doi.org/10/bcv4c5Google Scholar
Acheson, D. J., & MacDonald, M. C. (2009). Verbal working memory and language production: Common approaches to the serial ordering of verbal information. Psychological Bulletin, 135(1), 5068. https://doi.org/10/dxhnfjGoogle Scholar
Ali, N., Green, D. W., Kherif, F., Devlin, J. T., & Price, C. J. (2010). The role of the left head of caudate in suppressing irrelevant words. Journal of Cognitive Neuroscience, 22(10), 23692386. https://doi.org/10/cfcdwrGoogle Scholar
Allen, R. J., Hitch, G. J., & Baddeley, A. D. (2018). Exploring the sentence advantage in working memory: Insights from serial recall and recognition. Quarterly Journal of Experimental Psychology, 71(12), 25712585. https://doi.org/10.1177/1747021817746929Google Scholar
Amici, S., Brambati, S. M., Wilkins, D. P., Ogar, J., Dronkers, N. L., Miller, B. L., & Gorno-Tempini, M. L. (2007). Anatomical correlates of sentence comprehension and verbal working memory in neurodegenerative disease. Journal of Neuroscience, 27(23), 62826290. https://doi.org/10/db6h6vGoogle Scholar
Baddeley, A. D. (2003). Working memory and language: An overview. Journal of Communication Disorders, 36(3), 189208. https://doi.org/10.1016/s0021-9924(03)00019-4Google Scholar
Baddeley, A. D., & Hitch, G. J. (1974). Working memory. In Bower, G. A. (Ed.), Recent advances in learning and motivation, Vol.8 (pp. 4790). Academic Press.Google Scholar
Baddeley, A. D., Papagno, C., & Vallar, G. (1988). When long-term learning depends on short-term storage. Journal of Memory and Language, 27(5), 586595. https://doi.org/10.1016/0749-596X(88)90028-9Google Scholar
Berwick, R. C., Friederici, A. D., Chomsky, N., & Bolhuis, J. J. (2013). Evolution, brain, and the nature of language. Trends in Cognitive Sciences, 17(2), 8998. https://doi.org/10/f4j39rGoogle Scholar
Binder, J. R. (2017). Current controversies on Wernicke’s area and its role in language. Current Neurology and Neuroscience Reports, 17(8), 110. https://doi.org/10/gf26w5Google Scholar
Bock, J. K., & Levelt, W. J. M. (1994). Language production: Grammatical encoding. In Gernsbacher, M. A. (Ed.), Handbook of psycholinguistics (pp. 945984). Elsevier/Academic Press.Google Scholar
Bornkessel, I., & Schlesewsky, M. (2006). The extended argument dependency model: A neurocognitive approach to sentence comprehension across languages. Psychological Review, 113(4), 787821. https://doi.org/10/ctj65qGoogle Scholar
Bornkessel, I., Zysset, S., Friederici, A. D., von Cramon, D. Y., & Schlesewsky, M. (2005). Who did what to whom? The neural basis of argument hierarchies during language comprehension. NeuroImage, 26, 221233. https://doi.org/10/fjrs3tGoogle Scholar
Buchsbaum, B. R., & D’Esposito, M. (2019). A sensorimotor view of verbal working memory. Cortex, 112, 134148. https://doi.org/10/ghpwf3Google Scholar
Caplan, D., & Waters, G. (2013). Memory mechanisms supporting syntactic comprehension. Psychonomic Bulletin & Review, 20(2), 243268. https://doi.org/10/f4qqwsGoogle Scholar
Chang, S.-E., Kenney, M. K., Loucks, T. M. J., Poletto, C. J., & Ludlow, C. L. (2009). Common neural substrates support speech and non-speech vocal tract gestures. NeuroImage, 47(1), 314325. https://doi.org/10/d2jc3vGoogle Scholar
Chein, J. M., Ravizza, S. M., & Fiez, J. A. (2003). Using neuroimaging to evaluate models of working memory and their implications for language processing. Journal of Neurolinguistics, 16(4–5), 315339. https://doi.org/10/fw5shnGoogle Scholar
Christophel, T. B., Hebart, M. N., & Haynes, J.-D. (2012). Decoding the contents of visual short-term memory from human visual and parietal cortex. Journal of Neuroscience, 32(38), 1298312989. https://doi.org/10.1523/JNEUROSCI.0184-12.2012Google Scholar
Christophel, T. B., Klink, P. C., Spitzer, B., Roelfsema, P. R., & Haynes, J.-D. (2017). The distributed nature of working memory. Trends in Cognitive Sciences, 21(2), 111124. https://doi.org/10.1016/j.tics.2016.12.007Google Scholar
Collette, F., Majerus, S., Van der Linden, M., Dabe, P., Degueldre, C., Delfiore, G., Luxen, A., & Salmon, E. (2001). Contribution of lexico-semantic processes to verbal short-term memory tasks: A PET activation study. Memory, 9(4–6), 249259. https://doi.org/10/bbzpf5Google Scholar
Constantinidis, C., & Wang, X.-J. (2004). A Neural Circuit Basis for Spatial Working Memory. The Neuroscientist, 10(6), 553565. https://doi.org/10.1177/1073858404268742Google Scholar
Cooke, A., Zurif, E. B., DeVita, C., Alsop, D., Koenig, P., Detre, J., Gee, J., Pinãngo, M., Balogh, J., & Grossman, M. (2002). Neural basis for sentence comprehension: Grammatical and short-term memory components. Human Brain Mapping, 15(2), 8094. https://doi.org/10/dxk2x9Google Scholar
Curtis, C. E., Rao, V. Y., & D’Esposito, M. (2004). Maintenance of spatial and motor codes during oculomotor delayed response tasks. Journal of Neuroscience, 24(16), 39443952. https://doi.org/10.1523/JNEUROSCI.5640-03.2004Google Scholar
Daneman, M., & Merikle, P. M. (1996). Working memory and language comprehension: A meta-analysis. Psychonomic Bulletin & Review, 3(4), 422433. https://doi.org/10/c659r8Google Scholar
Dehaene-Lambertz, G., Dehaene, S., & Hertz-Pannier, L. (2002). Functional neuroimaging of speech perception in infants. Science, 298(5600), 20132015. https://doi.org/10.1126/science.1077066Google Scholar
D’Esposito, M., & Postle, B. R. (2015). The cognitive neuroscience of working memory. Annual Review of Psychology, 66(1), 115142. https://doi.org/10.1146/annurev-psych-010814-015031Google Scholar
Dronkers, N. F., Plaisant, O., Iba-Zizen, M. T., & Cabanis, E. A. (2007). Paul Broca’s historic cases: High resolution MR imaging of the brains of Leborgne and Lelong. Brain, 130(5), 14321441. https://doi.org/10/d5m4r2Google Scholar
Emch, M., von Bastian, C. C., & Koch, K. (2019). Neural correlates of verbal working memory: An fMRI meta-analysis. Frontiers in Human Neuroscience, 13(180). https://doi.org/10/ggqqtfGoogle Scholar
Eriksson, J., Vogel, E. K., Lansner, A., Bergström, F., & Nyberg, L. (2015). Neurocognitive architecture of working memory. Neuron, 88(1), 3346. https://doi.org/10.1016/j.neuron.2015.09.020Google Scholar
Friederici, A. D. (2011). The brain basis of language processing: From structure to function. Physiological Reviews, 91(4), 13571392. https://doi.org/10/crdcmjGoogle Scholar
Friederici, A. D. (2017). Language in our brain: The origins of a uniquely human capacity. MIT Press.Google Scholar
Friederici, A. D., Chomsky, N., Berwick, R. C., Moro, A., & Bolhuis, J. J. (2017). Language, mind and brain. Nature Human Behaviour, 1(10), 713722. https://doi.org/10.1038/s41562-017-0184-4Google Scholar
Funahashi, S., Bruce, C. J., & Goldman-Rakic, P. S. (1989). Mnemonic coding of visual space in the monkey’s dorsolateral prefrontal cortex. Journal of Neurophysiology, 61(2), 331349. https://doi.org/10.1152/jn.1989.61.2.331Google Scholar
Fuster, J. M., & Alexander, G. E. (1971). Neuron activity related to short-term memory. Science, 173(3997), 652654. https://doi.org/10.1126/science.173.3997.652Google Scholar
Ganushchak, L. Y., Christoffels, I. K., & Schiller, N. O. (2011). The use of electroencephalography in language production research: A review. Frontiers in Psychology, 2, 16. https://doi.org/10/fn6k8pGoogle Scholar
Gathercole, S. E. (1995). Is nonword repetition a test of phonological memory or long-term knowledge? It all depends on the nonwords. Memory and Cognition, 23(1), 8394. https://doi.org/10.3758/bf03210559Google Scholar
Gathercole, S. E., Frankish, C. R., Pickering, S. J., & Peaker, S. (1999). Phonotactic influences on short-term memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 25(1), 8495. https://doi.org/10/cvchznGoogle Scholar
Glaser, Y. G., Martin, R. C., Van Dyke, J. A., Hamilton, A. C., & Tan, Y. (2013). Neural basis of semantic and syntactic interference in sentence comprehension. Brain and Language, 126(3), 314326. https://doi.org/10/f5gdtzGoogle Scholar
Grant, A., Dennis, N. A., & Li, P. (2014). Cognitive control, cognitive reserve, and memory in the aging bilingual brain. Frontiers in Psychology, 5(1401), 110. https://doi.org/10.3389/fpsyg.2014.01401Google Scholar
Herman, A. B., Houde, J. F., Vinogradov, S., & Nagarajan, S. S. (2013). Parsing the phonological loop: Activation timing in the dorsal speech stream determines accuracy in speech reproduction. Journal of Neuroscience, 33(13), 54395453. https://doi.org/10/f4svd5Google Scholar
Howard, D., & Nickels, L. (2005). Separating input and output phonology: Semantic, phonological, and orthographic effects in short-term memory impairment. Cognitive Neuropsychology, 22(1), 4277. https://doi.org/10/fcjfkcGoogle Scholar
Ishkhanyan, B., Boye, K., & Mogensen, J. (2019). The meeting point: Where language production and working memory share resources. Journal of Psycholinguistic Research, 48(1), 6179. https://doi.org/10.1007/s10936-018-9589-0Google Scholar
Ji, J. L., Spronk, M., Kulkarni, K., Repovš, G., Anticevic, A., & Cole, M. W. (2019). Mapping the human brain’s cortical-subcortical functional network organization. NeuroImage, 185, 3557. https://doi.org/10.1016/j.neuroimage.2018.10.006Google Scholar
Jones, T., & Farrell, S. (2018). Does syntax bias serial order reconstruction of verbal short-term memory? Journal of Memory and Language, 100, 98122. https://doi.org/10.1016/j.jml.2018.02.001Google Scholar
Kellogg, R. T. (1996). A model of working memory in writing. In Levy, C. & Ransdell, S. (Eds.), The science of writing: Theories, methods, individual differences, and applications (pp. 5771). Erlbaum.Google Scholar
Kellogg, R. T., Whiteford, A., Turner, C., Cahill, M., & Mertens, A. (2013). Working memory in written composition: An evaluation of the 1966 model. Journal of Writing Research, 5(2), 159190. https://doi.org/10/gfpqbvGoogle Scholar
Koenigs, M., Barbey, A. K., Postle, B. R., & Grafman, J. (2009). Superior parietal cortex is critical for the manipulation of information in working memory. Journal of Neuroscience, 29(47), 1498014986. https://doi.org/10.1523/JNEUROSCI.3706-09.2009Google Scholar
Kosslyn, S. M. (1994). Image and brain: The resolution of the imagery debate. MIT Press.Google Scholar
Lee, H., Devlin, J. T., Shakeshaft, C., Stewart, L. H., Brennan, A., Glensman, J., Pitcher, K., Crinion, J., Mechelli, A., Frackowiak, R. S. J., Green, D. W., & Price, C. J. (2007). Anatomical traces of vocabulary acquisition in the adolescent brain. Journal of Neuroscience, 27(5), 11841189. https://doi.org/10.1523/JNEUROSCI.4442-06.2007Google Scholar
Levelt, W. J. M. (2001). Spoken word production: A theory of lexical access. Proceedings of the National Academy of Sciences, 98(23), 1346413471. https://doi.org/10.1073/pnas.231459498Google Scholar
Lewis-Peacock, J. A., Drysdale, A. T., Oberauer, K., & Postle, B. R. (2012). Neural evidence for a distinction between short-term memory and the focus of attention. Journal of Cognitive Neuroscience, 24(1), 6179. https://doi.org/10/dmmt42Google Scholar
Li, P., Legault, J., & Litcofsky, K. A. (2014). Neuroplasticity as a function of second language learning: Anatomical changes in the human brain. Cortex, 58, 301324. https://doi.org/10.1016/j.cortex.2014.05.001Google Scholar
Lohmann, G., Hoehl, S., Brauer, J., Danielmeier, C., Bornkessel-Schlesewsky, I., Bahlmann, J., Turner, R., & Friederici, A. (2010). Setting the frame: The human brain activates a basic low-frequency network for language processing. Cerebral Cortex, 20(6), 12861292. https://doi.org/10.1093/cercor/bhp190Google Scholar
Luk, G., Bialystok, E., Craik, F. I. M., & Grady, C. L. (2011). Lifelong bilingualism maintains white matter integrity in older adults. Journal of Neuroscience, 31(46), 1680816813. https://doi.org/10.1523/JNEUROSCI.4563-11.2011Google Scholar
Majerus, S., van der Linden, M., Mulder, L., Meulemans, T., & Peters, F. (2004). Verbal short-term memory reflects the sublexical organization of the phonological language network: Evidence from an incidental phonotactic learning paradigm. Journal of Memory and Language, 51(2), 297306. https://doi.org/10/cjw86hGoogle Scholar
Makuuchi, M., & Friederici, A. D. (2013). Hierarchical functional connectivity between the core language system and the working memory system. Cortex, 49(9), 24162423. https://doi.org/10/f5dq23Google Scholar
Miller, G. A., Galanter, E., & Pribram, K. H. (1960). Plans and the structure of behavior. Henry Holt. https://doi.org/10.1037/10039-000Google Scholar
Novais-Santos, S., Gee, J., Shah, M., Troiani, V., Work, M., & Grossman, M. (2007). Resolving sentence ambiguity with planning and working memory resources: Evidence from fMRI. NeuroImage, 37(1), 361378. https://doi.org/10/bvn8g6Google Scholar
O’Reilly, R. C., Braver, T. S., & Cohen, J. D. (1999). A biologically based computational model of working memory. In Miyake, A. & Shah, P. (Eds.), Models of Working Memory (1st ed., pp. 375411). Cambridge University Press. https://doi.org/10.1017/CBO9781139174909.014Google Scholar
Peschke, C., Ziegler, W., Kappes, J., & Baumgaertner, A. (2009). Auditory–motor integration during fast repetition: The neuronal correlates of shadowing. NeuroImage, 47(1), 392402. https://doi.org/10.1016/j.neuroimage.2009.03.061Google Scholar
Postle, B. R. (2006). Working memory as an emergent property of the mind and brain. Neuroscience, 139(1), 2338. https://doi.org/10.1016/j.neuroscience.2005.06.005Google Scholar
Price, C. J. (2010). The anatomy of language: A review of 100 fMRI studies published in 2009. Annals of the New York Academy of Sciences, 1191(1), 6288. https://doi.org/10.1111/j.1749-6632.2010.05444.xGoogle Scholar
Rogalsky, C., & Hickok, G. (2011). The role of Brocaʼs area in sentence comprehension. Journal of Cognitive Neuroscience, 23(7), 16641680. https://doi.org/10.1162/jocn.2010.21530Google Scholar
Rottschy, C., Langner, R., Dogan, I., Reetz, K., Laird, A. R., Schulz, J. B., Fox, P. T., & Eickhoff, S. B. (2012). Modelling neural correlates of working memory: A coordinate-based meta-analysis. NeuroImage, 60(1), 830846. https://doi.org/10.1016/j.neuroimage.2011.11.050Google Scholar
Sakai, K. L. (2005). Language acquisition and brain development. Science, 310(5749), 815819. https://doi.org/10.1126/science.1113530Google Scholar
Sanches, C., Routier, A., Colliot, O., & Teichmann, M. (2018). The structure of the mental lexicon: What primary progressive aphasias reveal. Neuropsychologia, 109, 107115. https://doi.org/10.1016/j.neuropsychologia.2017.12.018Google Scholar
Savill, N., Cornelissen, P., Whiteley, J., Woollams, A., & Jefferies, E. (2019). Individual differences in verbal short-term memory and reading aloud: Semantic compensation for weak phonological processing across tasks. Journal of Experimental Psychology: Learning, Memory, and Cognition, 45(10), 18151831. https://doi.org/10.1037/xlm0000675Google Scholar
Schiller, N. O., Bles, M., & Jansma, B. M. (2003). Tracking the time course of phonological encoding in speech production: An event-related brain potential study. Cognitive Brain Research, 17(3), 819831. https://doi.org/10.1016/s0926–6410(03)00204-0Google Scholar
Schwering, S. C., & MacDonald, M. C. (2020). Verbal working memory as emergent from language comprehension and production. Frontiers in Human Neuroscience, 14, 68. https://doi.org/10.3389/fnhum.2020.00068Google Scholar
Shafi, M., Zhou, Y., Quintana, J., Chow, C., Fuster, J., & Bodner, M. (2007). Variability in neuronal activity in primate cortex during working memory tasks. Neuroscience, 146(3), 10821108. https://doi.org/10/bcz5k9Google Scholar
Slana Ozimič, A., & Repovš, G. (2020). Visual working memory capacity is limited by two systems that change across lifespan. Journal of Memory and Language, 112, 104090. https://doi.org/10/ggjfhbGoogle Scholar
Starc, M., Anticevic, A., & Repovš, G. (2017). Fine-grained versus categorical: Pupil size differentiates between strategies for spatial working memory performance. Psychophysiology, 54(5), 724735. https://doi.org/10.1111/psyp.12828Google Scholar
Stokes, M. G. (2015). “Activity-silent” working memory in prefrontal cortex: A dynamic coding framework. Trends in Cognitive Sciences, 19(7), 394405. https://doi.org/10.1016/j.tics.2015.05.004Google Scholar
Sweeney, J. A., Mintun, M. A., Kwee, S., Wiseman, M. B., Brown, D. L., Rosenberg, D. R., & Carl, J. R. (1996). Positron emission tomography study of voluntary saccadic eye movements and spatial working memory. Journal of Neurophysiology, 75(1), 454468. https://doi.org/10.1152/jn.1996.75.1.454Google Scholar
Vallar, G., & Baddeley, A. D. (1984). Fractionation of working memory: Neuropsychological evidence for a phonological short-term store. Journal of Verbal Learning and Verbal Behavior, 23(2), 151161. https://doi.org/10.1016/S0022-5371(84)90104-XGoogle Scholar
Van Dyke, J. A., & Johns, C. L. (2012). Memory interference as a determinant of language comprehension: Interference in comprehension. Language and Linguistics Compass, 6(4), 193211. https://doi.org/10.1002/lnc3.330Google Scholar
Vogel, E. K., & Machizawa, M. G. (2004). Neural activity predicts individual differences in visual working memory capacity. Nature, 428(6984), 748751. https://doi.org/10/dpb3j5Google Scholar
Walenski, M., Europa, E., Caplan, D., & Thompson, C. K. (2019). Neural networks for sentence comprehension and production: An ALE‐based meta‐analysis of neuroimaging studies. Human Brain Mapping, 40(8), 22752304. https://doi.org/10.1002/hbm.24523Google Scholar
Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C., & Wager, T. D. (2011). Large-scale automated synthesis of human functional neuroimaging data. Nature Methods, 8(8), 665670. https://doi.org/10.1038/nmeth.1635Google Scholar
Zheng, Z. Z., Munhall, K. G., & Johnsrude, I. S. (2010). Functional overlap between regions involved in speech perception and in monitoring one’s own voice during speech production. Journal of Cognitive Neuroscience, 22(8), 17701781. https://doi.org/10.1162/jocn.2009.21324Google Scholar

References

Ahissar, E., Nagarajan, S., Ahissar, M., Protopapas, A., Mahncke, H., & Merzenich, M. M. (2001). Speech comprehension is correlated with temporal response patterns recorded from auditory cortex. Proceedings of the National Academy of Sciences, 98(23), 1336713372.Google Scholar
Atkinson, R. C. & Shiffrin, R. M. (1968). Human memory: A proposed system and its control processes. In Spence, K. W. (Ed.), The psychology of learning and motivation: Advances in research and theory (Vol. 2, pp. 89195). Academic Press.Google Scholar
Baddeley, A. D. (1966a). Influence of acoustic and semantic similarity on long-term memory for word sequences. Quarterly Journal of Experimental Psychology, 18, 302309.Google Scholar
Baddeley, A. D. (1966b). Short-term memory for word sequences as a function of acoustic semantic and formal similarity. Quarterly Journal of Experimental Psychology, 18, 362365.Google Scholar
Baddeley, A. D. (1968). How does acoustic similarity influence short-term memory? The Quarterly Journal of Experimental Psychology, 20, 249264.Google Scholar
Baddeley, A. D. (1986). Working Memory. Oxford University Press.Google Scholar
Baddeley, A. D. (2000). The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4, 417423.Google Scholar
Baddeley, A. D., Allen, R. J., & Hitch, G. J. (2011). Binding in visual working memory: The role of the episodic buffer. Neuropsychologia, 49, 13931400.Google Scholar
Baddeley, A., Eldridge, M., & Lewis, V. (1981). The role of subvocalization in reading. Quarterly Journal of Experimental Psychology Section a: Human Experimental Psychology, 33, 439454.Google Scholar
Baddeley, A. D., Gathercole, S., & Papagno, C. (1998). The phonological loop as a language learning device. Psychological Review, 105, 158173.Google Scholar
Baddeley, A. D. & Hitch, G. J. (1974). Working memory. In Bower, G. H. (Ed.), The psychology of learning and motivation: Advances in research and theory (Vol. VIII, pp. 4790). Academic Press.Google Scholar
Baddeley, A. D., Hitch, G. J., & Allen, R. J. (2009). Working memory and binding in sentence recall. Journal of Memory and Language, 61, 438456.Google Scholar
Baddeley, A. D., Lewis, V., & Vallar, G. (1984). Exploring the articulatory loop. Quarterly Journal of Experimental Psychology Section a: Human Experimental Psychology, 36, 233252.Google Scholar
Baddeley, A. D., Papagno, C., & Vallar, G. (1988). When long-term learning depends on short-term storage. Journal of Memory and Language, 27, 586595.Google Scholar
Baddeley, A. D., Thomson, N., & Buchanan, M. (1975). Word length and structure of short-term-memory. Journal of Verbal Learning and Verbal Behavior, 14, 575589.Google Scholar
Baddeley, A. D., & Warrington, E. K. (1970). Amnesia and distinction between long-and short-term memory. Journal of Verbal Learning and Verbal Behavior, 9, 176189.Google Scholar
Besner, D., Davies, J., & Daniels, S. (1981). Reading for meaning: The effects of concurrent articulation. Quarterly Journal of Experimental Psychology Section a: Human Experimental Psychology, 33, 415437.Google Scholar
Boomer, D. S. & Laver, J. D. M. (1968). Slips of the tongue. British Journal of Disorders of Communication, 3, 212.Google Scholar
Botvinick, M. M. & Plaut, D. C. (2006). Short-term memory for serial order: A recurrent neural network model. Psychological Review, 113(2), 201.Google Scholar
Brener, R. (1940). An experimental investigation of memory span. Journal of Experimental Psychology, 26, 467482.Google Scholar
Broadbent, D. E. (1958). Perception and Communication. Pergamon Press.Google Scholar
Brown, G. D. A., Neath, I., & Chater, N. (2007). A temporal ratio model of memory. Psychological Review, 114, 539576.Google Scholar
Brown, G. D. A., Preece, T., & Hulme, C. (2000). Oscillator-based memory for serial order. Psychological Review, 107, 127181.Google Scholar
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P.,…& Amodei, D. (2020). Language models are few-shot learners. arXiv preprint arXiv:2005.14165.Google Scholar
Burgess, N,. & Hitch, G. J. (1992). Towards a network model of the articulatory loop. Journal of Memory and Language, 31, 429460.Google Scholar
Burgess, N,. & Hitch, G. (1999). Memory for serial order: A network model of the phonological loop and its timing. Psychological Review, 106, 551581.Google Scholar
Burgess, N., & Hitch, G. J. (2006). A revised model of short-term memory and long-term learning of verbal sequences. Journal of Memory and Language 55, 627652.Google Scholar
Conrad, R. (1964). Acoustic confusions in immediate memory. British Journal of Psychology, 55, 7584.Google Scholar
Cowan, N. (1995). Attention and memory: An integrated framework. Oxford Psychology Series, no. 26. Oxford University Press.Google Scholar
Craik, F. I. M., & Lockhart, R. S. (1972). Levels of processing: A framework for memory research. Journal of Verbal Learning and Verbal Behavior, 11, 671684.Google Scholar
Crannell, C. W., & Parrish, J. M. (1957). A comparison of immediate memory span for digits, letters, and words. The Journal of Psychology, 44, 319327.Google Scholar
Crowder, R. G. (1982). The demise of short-term-memory. Acta Psychologica, 50, 291323.Google Scholar
Daneman, M., & Carpenter, P. A. (1980). Individual-differences in working memory and reading. Journal of Verbal Learning and Verbal Behavior, 19, 450466.Google Scholar
Dell, G. S., & Reich, P. A. (1981). Stages in sentence production: An analysis of speech error data. Journal of Verbal Learning and Verbal Behavior, 20(6), 611629.Google Scholar
Ding, N., & Simon, J. Z. (2014). Cortical entrainment to continuous speech: functional roles and interpretations. Frontiers in Human Neuroscience, 8, 311.Google Scholar
Drewnowski, A., & Murdock, B. B. Jr. (1980). The role of auditory features in memory span for words. Journal of Experimental Psychology: Learning, Memory, and Cognition, 6, 319332.Google Scholar
Ebbinghaus, H. (1885/1964). Memory: A contribution to experimental psychology. Dover.Google Scholar
Ellis, A. W. (1980). Errors in speech and short-term-memory: The effects of phonemic similarity and syllable position. Journal of Verbal Learning and Verbal Behavior, 19, 624634.Google Scholar
Elman, J. L. (1990). Finding structure in time. Cognitive Science, 14, 179211.Google Scholar
Farrell, S. (2006). Mixed-list phonological similarity effects in delayed serial recall. Journal of Memory and Language, 55, 587600.Google Scholar
Farrell, S., Hurlstone, M. J., & Lewandowsky, S. (2013). Sequential dependencies in recall of sequences: Filling in the blanks. Memory & Cognition, 41, 938952.Google Scholar
Farrell, S. & Lewandowsky, S. (2002). An endogenous distributed model of ordering in serial recall. Psychonomic Bulletin & Review, 9, 5979.Google Scholar
Farrell, S., & Lewandowsky, S. (2004). Modelling transposition latencies: Constraints for theories of serial order memory. Journal of Memory and Language, 51, 115135.Google Scholar
Friedmann, N., & Gvion, A. (2001). Sentence comprehension and working memory limitation in aphasia: A dissociation between semantic-syntactic and phonological reactivation. Brain and Language, 86 (1), 2339.Google Scholar
Gathercole, S. E., & Baddeley, A. D. (1989). Evaluation of the role of phonological STM in the development of vocabulary in children: A longitudinal study. Journal of Memory and Language, 28, 200213.Google Scholar
Gathercole, S. E., Frankish, C. R., Pickering, S. J., & Peaker, S. (1999). Phonotactic influences on short-term memory. Journal of Experimental Psychology-Learning Memory and Cognition, 25, 8495.Google Scholar
Gathercole, S. E., Willis, C. S., Emslie, H., & Baddeley, A. D. (1992). Phonological memory and vocabulary development during the early school years: A longitudinal study. Developmental Psychology, 28, 887898.Google Scholar
Glanzer, M., & Cunitz, A. R. (1966). Two storage mechanisms in free recall. Journal of Verbal Learning and Verbal Behavior, 5, 351360.Google Scholar
Glasspool, D. W. (2005). Modelling serial order in behaviour: Evidence from performance slips. In Houghton, G. (Ed.), Connectionist models in cognitive psychology (pp. 241270). Psychology Press.Google Scholar
Graf Estes, K., Evans, J. L., & Else-Quest, N. M. (2004). Differences in the nonword repetition performance of children with and without specific language impairment: A meta-analysis. Journal of Speech and Hearing Research, 50, 177195.Google Scholar
Gregg, V. H., Freedman, C. M., & Smith, D. K. (1989). Word-frequency, articulatory suppression and memory span. British Journal of Psychology, 80, 363374.Google Scholar
Grossberg, S. (1978a). A theory of human memory: Self-organization and performance of sensory-motor codes, maps, and plans. In Rosen, R. & Snell, (Eds.), Progress in theoretical biology (Vol. 5, pp. 233374). New York: Academic Press.Google Scholar
Grossberg, S. (1978b). Behavioral contrast in short-term memory: Serial binary memory models or parallel continuous memory models? Journal of Mathematical Psychology, 17, 199219.Google Scholar
Grossberg, S., & Pearson, L. R. (2008). Laminar cortical dynamics of cognitive and motor working memory, sequence learning and performance: Towards a unified theory of how the cerebral cortex works. Psychological Review, 115, 677732.Google Scholar
Gupta, P. & MacWhinney, B. (1997). Vocabulary acquisition and verbal short-term memory: Computational and neural bases. Brain and Language, 59(2), 267333.Google Scholar
Gvion, A. & Friedmann, N. (2012). Does phonological working memory impairment affect sentence comprehension? A study of conduction aphasia. Aphasiology, 26 (3-4), 494535.Google Scholar
Hartley, T. (2002). Syllabic phase: A bottom-up representation of the temporal structure of speech. In Bullinaria, J. & Lowe, W. (Eds.), Connectionist models of cognition and perception (pp. 277288). World Scientific Publishing Co.Google Scholar
Hartley, T., & Houghton, G. (1996). A linguistically constrained model of short-term memory for nonwords. Journal of Memory and Language, 35, 131.Google Scholar
Hartley, T., Hurlstone, M. J., & Hitch, G. J. (2016). Effects of rhythm on memory for spoken sequences: A model and tests of its stimulus-driven mechanism. Cognitive Psychology, 87, 135178.Google Scholar
Henson, R. N. A. (1996). Short-term memory for serial order (Doctoral dissertation, University of Cambridge).Google Scholar
Henson, R. N. A. (1998). Short-term memory for serial order: The start-end model. Cognitive Psychology, 36, 73137.Google Scholar
Henson, R. N. A., Norris, D. G., Page, M. P. A., & Baddeley, A. D. (1996). Unchained memory: Error patterns rule out chaining models of immediate serial recall. Quarterly Journal of Experimental Psychology, 49A, 80115.Google Scholar
Hitch, G. J. (1978). Role of short-term working memory in mental arithmetic. Cognitive Psychology, 10, 302323.Google Scholar
Hitch, G. J., Burgess, N., Towse, J. N., & Culpin, V. (1996). Temporal grouping effects in immediate recall: A working memory analysis. Quarterly Journal of Experimental Psychology, 49A, 116139.Google Scholar
Hochreiter, S. & Schmidhuber, J. (1997). Long short-term memory. Neural Computation, 9(8), 17351780.Google Scholar
Houghton, G. (1990). The problem of serial order: A neural network model of sequence learning and recall. In Dale, R., Mellish, C., & Zock, M., (Eds.), Current research in natural language generation (pp. 287319). Academic Press.Google Scholar
Houghton, G., & Hartley, T. (1995). Parallel models of serial behavior: Lashley revisited. Psyche, 2(25), 125.Google Scholar
Hulme, C., Maughan, S., & Brown, G. D. A. (1991). Memory for familiar and unfamiliar words: Evidence for a long-term-memory contribution to short-term-memory span. Journal of Memory and Language, 30, 685701.Google Scholar
Hurlstone, M. J. (2021). Serial recall. In Kahana, M. J. & Wagner, A. D. (Eds.), The Oxford handbook of human memory. Oxford University Press.Google Scholar
Hurlstone, M. J., Hitch, G. J., & Baddeley, A. D. (2014). Memory for serial order across domains: An overview of the literature and directions for future research. Psychological Bulletin, 140, 339373.Google Scholar
Jalbert, A., Neath, I., Bireta, T. J., & Surprenant, A. M. (2011). When does length cause the word length effect? Journal of Experimental Psychology: Learning Memory and Cognition, 37, 338353.Google Scholar
Jordan, M. I. (1986). Serial order: A parallel distributed processing approach. Finding structure in time. Cognitive Science, 14, 179211.Google Scholar
Kahana, M. J. (2012). Foundations of human memory. Oxford University Press.Google Scholar
Kane, M. J., Hambrick, D. Z., Tuholski, S. W., Wilhelm, O., Payne, T. W., & Engle, R. W. (2004). The generality of working memory capacity: A latent-variable approach to verbal and visuospatial memory span and reasoning. Journal of Experimental Psychology: General, 133, 189217.Google Scholar
Kowialiewski, B., Gorin, S., & Majerus, S. (2021). Semantic knowledge constrains the processing of serial order information in Working Memory. Journal of Experimental Psychology: Learning, Memory and Cognition, 12, 19581970.Google Scholar
Lewandowsky, S., & Farrell, S. (2008). Short-term memory: New data and a model. The Psychology of Learning and Motivation, 49, 148.Google Scholar
Lewandowsky, S., & Murdock, B. B. (1989). Memory for serial order. Psychological Review, 96, 2557.Google Scholar
Lewandowsky, S., Oberauer, K., & Brown, G. D. A. (2009). No temporal decay in verbal short-term memory. Trends in Cognitive Sciences, 13, 120126.Google Scholar
Lewis, R. L., Vasishth, S., & Van Dyke, J. A. (2006). Computational principles of working memory in sentence comprehension. Trends in Cognitive Sciences, 10, 447454.Google Scholar
Logan, G. D. (2021). Serial order in perception, memory, and action. Psychological Review, 128(1), 144.Google Scholar
Logie, R. H. (1995). Visuo-spatial working memory. Erlbaum.Google Scholar
Logie, R. H., Camos, V., & Cowan, N. (2021). Working memory: State of the science. Oxford University Press.Google Scholar
MacDonald, M. E. (2016). Speak, act, remember: The language-production basis of serial order and maintenance in verbal memory. Current Directions in Psychological Science, 25 (1), 4753.Google Scholar
MacKay, D. G. (1970). Spoonerisms: Structure of errors in serial order of speech. Neuropsychologia, 8, 323350.Google Scholar
Madigan, S. A. (1971). Modality and recall order interactions in short-term memory for serial order. Journal of Experimental Psychology, 87, 294296.Google Scholar
Marr, D. (1982). Vision: A computational approach. Freeman & Co.Google Scholar
Martin, N., & Saffran, E. M. (1997). Language and auditory-verbal short-term memory impairments: Evidence for common underlying processes. Cognitive Neuropsychology, 14, 641682.Google Scholar
Martin, R. C., & Slevc, L. R. (2014). Language production and working memory. In Goldrick, M., Ferreira, V., & Miozzo, M. (Eds.), The Oxford handbook of language production (pp. 437450). Oxford University Press.Google Scholar
Maybery, M. T., Parmentier, F. B. R., & Jones, D. M. (2002). Grouping of list items reflected in the timing of recall: Implications for models of serial verbal memory. Journal of Memory and Language, 47, 360385.Google Scholar
McClelland, J. L., Botvinick, M. M., Noelle, D. C., Plaut, D. C., Rogers, T. T., Seidenberg, M. S., & Smith, L. B. (2010). Letting structure emerge: Connectionist and dynamical systems approaches to cognition. Trends in Cognitive Sciences, 14(8), 348356.Google Scholar
Melby-Lervag, M. & Lervag, A. (2012). Oral language skills moderate nonword repetition skills in children with dyslexia: A meta-analysis of the role of nonword repetition skills in dyslexia. Scientific Studies of Reading, 16, 134.Google Scholar
Miller, G. A. (1956). The magical number 7, plus or minus 2: Some limits on our capacity for processing information. Psychological Review, 63, 8197.Google Scholar
Monsell, S. (1987). On the relation between lexical input and output pathways for speech. In Allport, A., MacKay, D. G., Prinz, W., & Scheerer, E. (Eds.), Cognitive science series. Language perception and production: Relationships between listening, speaking, reading and writing (pp. 273311). Academic Press.Google Scholar
Morey, C. C. (2018). The case against specialized visual-spatial short-term memory. Psychological Bulletin, 144, 849883.Google Scholar
Murdock, B. B. (1993). TODAM2: A model for the storage and retrieval of item, associative, and serial-order information. Psychological Review, 100, 183203.Google Scholar
Murdock, B. B. (1995). Developing TODAM: Three models for serial order information. Memory & Cognition, 23, 631645.Google Scholar
Murray, D. J. (1968). Articulation and acoustic confusability in short-term memory. Journal of Experimental Psychology, 78, 679684.Google Scholar
Nelson, T. O., & Rothbart, R. (1972). Acoustic savings for items forgotten from long-term memory. Journal of Experimental Psychology, 93 (2), 357360.Google Scholar
Nooteboom, S. G. (1973). The tongue slips into patterns. In Fromkin, V. A. (Ed.), Speech errors as linguistic evidence (pp. 144156). Mouton.Google Scholar
Norris, D. (2017). Short-term memory and long-term memory are still different. Psychological Bulletin, 143, 9921009.Google Scholar
Oberauer, K. (2002). Access to information in working memory: Exploring the focus of attention. Journal of Experimental Psychology: Learning Memory and Cognition, 28, 411421.Google Scholar
Osth, A. F., & Hurlstone, M. J. (2021). Do item-based context representations underlie serial order in cognition? Commentary on Logan (2021). Psychological Review.Google Scholar
Page, M. P. A., Madge, A., Cumming, N., & Norris, D. G. (2007). Speech errors and the phonological similarity effect in short-term memory: Evidence suggesting a common locus. Journal of Memory and Language, 56, 4964.Google Scholar
Page, M. P. A., & Norris, D. (1998). The primacy model: A new model of immediate serial recall. Psychological Review, 105, 761781.Google Scholar
Papagno, C., Valentine, T., & Baddeley, A. (1991). Phonological short-term memory and foreign-language vocabulary learning. Journal of Memory and Language, 30, 331347.Google Scholar
Papagno, C., & Vallar, G. (1992). Phonological short-term-memory and the learning of novel words: The effect of phonological similarity and item length. Quarterly Journal of Experimental Psychology Section A: Human Experimental Psychology, 44, 4767.Google Scholar
Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., & Sutskever, I. (2019). Language models are unsupervised multitask learners. OpenAI blog, 1(8), 9.Google Scholar
Rogalsky, C., Matchin, W., & Hickok, G. (2008). Broca’s area, sentence comprehension, and working memory: An fMRI study. Frontiers in Human Neuroscience, 2: 14. doi: 10.3389/neuro.09.014.2008Google Scholar
Ryan, J. (1969a). Grouping and short-term memory: Different means and patterns of grouping. Quarterly Journal of Experimental Psychology, 21, 137147.Google Scholar
Ryan, J. (1969b). Temporal grouping rehearsal and short-term memory. Quarterly Journal of Experimental Psychology, 21, 148155.Google Scholar
Schweickert, R. (1993). A multinomial processing tree model for degradation and redintegration in immediate recall. Memory & Cognition, 21, 168175.Google Scholar
Schwering, S. C., & MacDonald, M. C. (2020). Verbal working memory as emergent from language comprehension and production. Frontiers in Human Neuroscience, 14, 68. doi: 10.3389/fnhum.2020.00068Google Scholar
Selkirk, E. (1984). On the major class features and syllable theory. In Aronoff, M. & Orehrle, R. T. (Eds.), Language sound structure: Studies in phonology presented to Morris Halle by his teachers and students. MIT press.Google Scholar
Service, E. (1992). Phonology, working memory, and foreign-language learning. Quarterly Journal of Experimental Psychology Section A: Human Experimental Psychology, 45, 2150.Google Scholar
Service, E. (1998). The effect of word length on immediate serial recall depends on phonological complexity, not articulatory duration. Quarterly Journal of Experimental Psychology Section A: Human Experimental Psychology, 51, 283304.Google Scholar
Shallice, T., & Butterworth, B. (1977). Short-term-memory impairment and spontaneous speech. Neuropsychologia, 15, 729735.Google Scholar
Shallice, T., & Warrington, E. K. (1970). Independent functioning of verbal memory stores: A neuropsychological study. Quarterly Journal of Experimental Psychology, 22, 261273.Google Scholar
Shattuck-Huffnagel, S. (1979) Speech errors as evidence for a serial-ordering mechanism in sentence production. In Cooper, W. E & Walker, E. C. T, (Eds.), Sentence processing: Psycholinguistic studies presented to Merrill Garrett. Erlbaum.Google Scholar
Shulman, H. G. (1972). Encoding and retention of semantic and phonemic information in short-term memory. Journal of Verbal Learning and Verbal Behavior, 9, 499508.Google Scholar
Solway, A., Murdock, B. B., & Kahana, M. J. (2012). Positional and temporal clustering in serial order memory. Memory & Cognition, 40, 177190.Google Scholar
Surprenant, A. M., Kelley, M. R., Farley, L. A., & Neath, I. (2005). Fill-in and infill errors in order memory. Memory, 13, 267273.Google Scholar
Treiman, R., & Danis, C. (1988). Short-term memory errors for spoken syllables are affected by the linguistic structure of the syllables. Journal of Experimental Psychology: Learning, Memory, and Cognition, 14(1), 145.Google Scholar
Vallar, G., & Baddeley, A. (1987). Phonological short-term store and sentence processing. Cognitive Neuropsychology, 4, 417438.Google Scholar
Vallar, G., & Papagno, C. (2002). Neuropsychological Impairments of verbal short-term memory. In Baddeley, A. D., Kopelman, M. D., & Wilson, B. A. (Eds.), Handbook of memory disorders (2nd. ed., pp. 249270). Wiley.Google Scholar
Vousden, J. I., Brown, G. D., & Harley, T. A. (2000). Serial control of phonology in speech production: A hierarchical model. Cognitive Psychology, 41(2), 101175.Google Scholar
Yang, T. X., Allen, R. J., & Gathercole, S. E. (2016). Examining the role of working memory resources in following spoken instructions. Journal of Cognitive Psychology, 28, 186198.Google Scholar
Ylinen, S., Nora, A., Leminen, A., Hakala, T., Huotilainen, M., Shtyrov, Y., Mäkelä, J. P., & Service, E. (2015). Two distinct auditory-motor circuits for monitoring speech production as revealed by content-specific suppression of auditory cortex. Cerebral Cortex, 25 (1), 15761586.Google Scholar

References

Abadie, M., & Camos, V. (2018). Attentional refreshing moderates the word frequency effect in immediate and delayed recall tasks. Annals of the New York Academy of Sciences, 1424, 127136.Google Scholar
Abadie, M., & Camos, V. (2019). False memory at short and long term. Journal of Experimental Psychology: General, 148(8), 13121334.Google Scholar
Adams, A. M., & Gathercole, S. E. (1996). Phonological working memory and spoken language development in young children. Quarterly Journal of Experimental Psychology, 49A, 216223.Google Scholar
Allen, R. J., Baddeley, A. D., & Hitch, G. J. (2006). Is the binding of visual features in working memory resource-demanding? Journal of Experimental Psychology: General, 135, 298313.Google Scholar
Allen, R. J., Hitch, G. J., & Baddeley, A. D. (2009). Cross-modal binding and working memory. Visual Cognition, 17, 83102.Google Scholar
Anderson, J. R. (1993). Rules of the mind. Lawrence Erlbaum Associates.Google Scholar
Atkinson, R. C., & Shiffrin, R. M. (1968). Human memory: A proposed system and its control processes. In Spence, K. W. & Spence, J. T. (Eds.), The psychology of learning and motivation: Advances in research and theory (Vol. 2, pp. 89-195). Academic Press.Google Scholar
Baddeley, A. D. (1986). Working memory. Clarendon Press.Google Scholar
Baddeley, A. D. (2000). The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4, 417423.Google Scholar
Baddeley, A. D. (2007). Working memory, thought, and action. Oxford University Press.Google Scholar
Baddeley, A. D., & Hitch, G. J. (1974). Working memory. In Bower, G. A. (Ed.), Recent advances in learning and motivation (Vol. 8, pp. 647667): Academic Press.Google Scholar
Baddeley, A. D., Thomson, N., & Buchanan, M. (1975). Word length and the structure of short-term memory. Journal of Verbal Learning and Verbal Behavior, 14, 575589.Google Scholar
Baddeley, A. D., Vallar, G., & Wilson, B. A. (1987). Sentence comprehension and phonological memory: Some neuropsychological evidence. In Coltheart, M. (Ed.), Attention and performance XII: The psychology of reading (pp. 509529). Lawrence Erlbaum Associates.Google Scholar
Barrouillet, P., Bernardin, S., & Camos, V. (2004). Time constraints and resource-sharing in adults’ working memory spans. Journal of Experimental Psychology: General, 133, 83100.Google Scholar
Barrouillet, P., Bernardin, S., Portrat, S., Vergauwe, E., & Camos, V. (2007). Time and cognitive load in working memory. Journal of Experimental Psychology: Learning, Memory and Cognition, 33(3), 570585.Google Scholar
Barrouillet, P., & Camos, V. (2001). Developmental increase in working memory span: Resource sharing or temporal decay? Journal of Memory and Language, 45, 120.Google Scholar
Barrouillet, P., & Camos, V. (2015). Working memory: Loss and reconstruction. Psychology Press.Google Scholar
Barrouillet, P., & Camos, V. (2020). The time-based resource-sharing model of working memory. In Logie, R. H., Camos, V., Cowan, N. (Eds), Working memory: State of the science. Oxford University Press.Google Scholar
Barrouillet, P. Gavens, N., Vergauwe, E., Gaillard, V., & Camos, V. (2009). Working memory span development: A Time-Based Resource-Sharing model account. Developmental Psychology, 45, 477490.Google Scholar
Barrouillet, P., Gorin, S., & Camos, V. (2021). Simple spans underestimate verbal working memory capacity. Journal of Experimental Psychology: General, 150(4), 633.Google Scholar
Barrouillet, P., Portrat, S., & Camos, V. (2011). On the law relating processing and storage in working memory. Psychological Review, 118, 175192.Google Scholar
Barrouillet, P., Portrat, S., Vergauwe, E., Diependaele, K., & Camos, V. (2011). Further evidence for temporal decay in working memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37, 13021317.Google Scholar
Berlin, B., & Kay, P. (1969). Basic color terms. University of California Press.Google Scholar
Binet, A., & Simon, T. (1904). Méthodes nouvelles pour le diagnostic du niveau intellectuel des anormaux [New methods for the diagnosis of the intellectual level of subnormals]. L’année psychologique, 11, 191244.Google Scholar
Braine, M. D. S. (1990). The “natural logic” approach to reasoning. In Overton, W. F. (Ed.), Reasoning, necessity and logic: Developmental perspectives (pp. 135-158). Lawrence Erlbaum Associates.Google Scholar
Brainerd, C. J., & Reyna, V. F. (2002). Fuzzy-trace theory and false memory. Current Directions in Psychological Science, 11, 164169.Google Scholar
Brainerd, C. J., & Reyna, V. F. (2005). The science of false memory. Oxford University Press.Google Scholar
Brown, G. D., Neath, I., & Chater, N. (2007). A temporal ratio model of memory. Psychological Review, 114, 539576.Google Scholar
Camos, V., & Barrouillet, P. (2011). Factors of working memory development: The time-based resource-sharing approach. In Barrouillet, P. & Gaillard, V. (Eds.), Cognitive development and working memory: From neo-Piagetian to cognitive approaches (pp. 151176). Psychology Press.Google Scholar
Camos, V., & Barrouillet, P. (2018). Working memory in development. Routledge.Google Scholar
Camos, V., Johnson, M., Loaiza, V., Portrat, S., Souza, A., & Vergauwe, E. (2018). What is attentional refreshing in working memory? Annals of the New York Academy of Sciences, 1424(1), 1932.Google Scholar
Camos, V., Lagner, P., & Barrouillet, P. (2009). Two maintenance mechanisms of verbal information in working memory. Journal of Memory and Language, 61(3), 457469.Google Scholar
Camos, V., Mora, G., & Barrouillet, P. (2013). Phonological similarity effect in complex span task. Quarterly Journal of Experimental Psychology, 66(10), 19271950.Google Scholar
Camos, V., Mora, G., & Oberauer, K. (2011). Adaptive choice between articulatory rehearsal and attentional refreshing in verbal working memory. Memory & Cognition, 39(2), 231244.Google Scholar
Camos, V., Mora, G., Oftinger, A-L., Mariz Elsig, S., Schneider, P., & Vergauwe, E., (2019). Does long-term memory affect refreshing in verbal working memory? Journal of Experimental Psychology: Learning, Memory and Cognition, 45(9), 16641682.Google Scholar
Camos, V., & Portrat, S. (2015). The impact of cognitive load on delayed recall. Psychonomic Bulletin and Review, 22, 10291034.Google Scholar
Campoy, G., Castellà, J., Provencio, V., Hitch, G., & Baddeley, A. (2015). Automatic semantic encoding in verbal short-term memory: Evidence from the concreteness effect. Quarterly Journal of Experimental Psychology, 68(4), 759778.Google Scholar
Corbin, L., Moissenet, A., & Camos, V. (2012). Le fonctionnement de la mémoire de travail chez des enfants présentant des difficultés scolaires. Développements, 11, 512.Google Scholar
Cowan, N. (1995). Attention and memory: An integrated framework. Oxford University Press.Google Scholar
Cowan, N. (1999). An embedded-processes model of working memory. In Shah, P. Miyake, & A., (Eds.), Models of working memory: Mechanisms of active maintenance and executive control (pp. 62101). Cambridge University Press.Google Scholar
Craik, F. I. M., & Watkins, M. J. (1973). The role of rehearsal in short-term memory. Journal of Verbal Learning and Verbal Behavior, 12, 599607.Google Scholar
Crowder, R. G. (1993). Short-term memory: Where do we stand? Memory & Cognition, 21, 142145. http://dx.doi.org/10.3758/BF03202725Google Scholar
Daneman, M. & Carpenter, P. A. (1980). Individual differences in working memory and reading. Journal of Verbal Learning and Verbal Behavior, 19, 450466.Google Scholar
Dempster, F. N. (1981). Memory span: Sources of individual and developmental differences. Psychological Bulletin, 89, 63100.Google Scholar
Engle, R. W., Nations, J. K., & Cantor, J. (1990). Is working memory capacity just another name for word knowledge? Journal of Educational Psychology, 82, 799804.Google Scholar
Fitamen, C., Blaye, A., & Camos, V. (2019). The role of goal cueing in kindergarteners’ working memory. Journal of Experimental Child Psychology, 187.Google Scholar
Garnham, A., Garrod, S., & Sanford, A. (2006). Observation on the past and future of psycholinguistics. In Traxler, M. J., & Gernsbacher, M. A. (Eds.), Handbook of psycholinguistics (pp. 118). Academic Press.Google Scholar
Gathercole, S. E., & Baddeley, A. D. (1989). Evaluation of the role of phonological STM in the development of vocabulary in children: A longitudinal study. Journal of Memory and Language, 28, 200213.Google Scholar
Gathercole, S. E., & Baddeley, A. D. (1990). Phonological memory deficits in language-disordered children: Is there a causal connection? Journal of Memory and Language, 29, 336360.Google Scholar
Gavens, N., & Barrouillet, P. (2004). Delays of retention, processing efficiency, and attentional resources in working memory span development. Journal of Memory and Language, 51, 644657.Google Scholar
Glenberg, A. M., Smith, S. M., & Green, C. (1977). Type I rehearsal: Maintenance and more. Journal of Verbal Learning and Verbal Behavior, 16, 339352.Google Scholar
Greene, R. L. (1987). Effects of maintenance rehearsal on human memory. Psychological Bulletin, 102, 403413.Google Scholar
Gruber, O. (2001). Effects of domain-specific interference on brain activation associated with verbal working memory task performance. Cerebral Cortex, 11, 10471055.Google Scholar
Hudjetz, A., & Oberauer, K. (2007). The effects of processing time and processing rate on forgetting in working memory: Testing four models of the complex span paradigm. Memory & Cognition, 35, 16751684.Google Scholar
Jefferies, E., Lambon Ralph, M. A., & Baddeley, A. D. (2004). Automatic and controlled processing in sentence recall: The role of long-term and working memory. Journal of Memory and Language, 51, 623643.Google Scholar
Johnson, M. K. (1992). MEM: Mechanisms of recollection. Journal of Cognitive Neuroscience, 4(3), 268280.Google Scholar
Johnson, M. K., Reeder, J. A., Raye, C. L., & Mitchell, K. J. (2002). Second thoughts versus second looks: An age-related deficit in reflectively refreshing just-activated information. Psychological Science, 13, 6467.Google Scholar
Kane, M. J., Hambrick, D. Z., Tuholski, S. W., Wilhelm, O., Payne, T. W., & Engle, R. W. (2004). The generality of working memory capacity: A latent-variable approach to verbal and visuospatial memory span and reasoning. Journal of Experimental Psychology: General, 133, 189217.Google Scholar
Loaiza, V. M., & Camos, V. (2018). The role of semantic representations in verbal working memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44, 863881.Google Scholar
Loaiza, V. M., Duperreault, K. A., Rhodes, M. G., & McCabe, D. P. (2015). Long-term semantic representations moderate the effect of attentional refreshing on episodic memory. Psychonomic Bulletin & Review, 22, 274280.Google Scholar
Loaiza, V. M., & McCabe, D. P. (2012). Temporal-contextual processing in working memory: Evidence from delayed cued recall and delayed free recall tests. Memory & Cognition, 40, 193203.Google Scholar
Loaiza, V. M., & McCabe, D. P. (2013). The influence of aging on attentional refreshing and articulatory rehearsal during working memory on later episodic memory performance. Aging, Neuropsychology, & Cognition, 20, 471493.Google Scholar
Loaiza, V. M., Rhodes, M. G., & Anglin, J. (2015). The influence of age-related differences in prior knowledge and attentional refreshing opportunities on episodic memory. Journals of Gerontology, Lists B: Psychological Sciences and Social Sciences, 70 (5), 729736.Google Scholar
McCabe, D. P. (2008). The role of covert retrieval in working memory span tasks: Evidence from delayed recall tests. Journal of Memory and Language, 58(2), 480494.Google Scholar
Miller, G. A. (1956). The magical number seven plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 8197. http://dx.doi.org/10.1037/h0043158Google Scholar
Mora, G., & Camos, V. (2013). Two systems of maintenance in verbal working memory: Evidence from the word length effect. PLoS ONE, 8, e70026.Google Scholar
Mora, G., & Camos, V. (2015). Dissociating rehearsal and refreshing in the maintenance of verbal information in 8-year-old children. Frontiers in Psychology (Developmental Psychology), 6(11).Google Scholar
Morton, J. (1979). Word recognition. In Morton, J. & Marshall, J. C. (Eds.), Psycholinguistics, volume 2: Structures and processes (pp. 107156). Paul Elek.Google Scholar
Newport, E. L. (1990). Maturational constraints on language learning. Cognitive Science, 14, 1128. https://doi.org/10.1207/s15516709cog1401_2Google Scholar
Oftinger, A-L., & Camos, V. (2016). Maintenance mechanisms in children’s verbal working memory. Journal of Educational and Developmental Psychology, 6(1), 1628.Google Scholar
Oftinger, A-L., & Camos, V. (2017). Phonological similarity effect in children’s working memory: Do maintenance mechanisms matter? Journal of Child Psychology, 1(1), 511.Google Scholar
Oftinger, A-L., & Camos, V. (2018). Developmental improvement in strategies to maintain verbal information in children’s working memory. International Journal of Behavioral Development, 42(2), 182191.Google Scholar
Papagno, C., Valentine, T., & Baddeley, A. D. (1991). Phonological short-term memory and foreign-language vocabulary learning. Journal of Memory and Language, 30, 331347.Google Scholar
Piaget, J. (1923). Le langage et la pensée chez l’enfant. Delachaux et Niestlé.Google Scholar
Portrat, S., Camos, V., & Barrouillet, P. (2009) Working memory in children: A time-related functioning similar to adults. Journal of Experimental Child Psychology, 102, 368374.Google Scholar
Raye, C. L., Johnson, M. K., Mitchell, K. J., Greene, E. J., & Johnson, M. R. (2007). Refreshing: A minimal executive function. Cortex, 43, 135145.Google Scholar
Reyna, V. F., & Brainerd, C. J. (1995). Fuzzy-trace theory: An interim synthesis. Learning and Individual Differences, 7, 175.Google Scholar
Ricker, T., Cowan, N., & Morey, C. (2010). Visual working memory is disrupted by covert verbal retrieval. Psychonomic Bulletin & Review, 17, 516521.Google Scholar
Rips, L. J. (1994). The psychology of proof. MIT Press.Google Scholar
Rose, N. S., Buchsbaum, B. R., & Craik, F. I. M. (2014). Short-term retention of a single word relies on retrieval from long-term memory when both rehearsal and refreshing are disrupted. Memory & Cognition, 42, 689700.Google Scholar
Rose, N. S., Craik, F. I., & Buchsbaum, B. R. (2015). Levels of processing in working memory: Differential involvement of frontotemporal networks. Journal of Cognitive Neuroscience, 27, 522532.Google Scholar
Rosselet-Jordan, F. L., Abadie, M., Mariz-Elsig, S., & Camos, V. (2022). Role of attention in the associative relatedness effect in verbal working memory: Behavioral and chronometric perspectives. Journal of Experimental Psychology: Learning, Memory, and Cognition. Advance online publication. https://doi.org/10.1037/xlm0001102Google Scholar
Rosselet-Jordan, F., Abadie, M., Mariz-Elsig, S. & Camos, V. (in press). Role of attention in the associative relatedness effect in verbal working memory: Behavioral and chronometric perspective.Google Scholar
Smith, E. E., & Jonides, J. (1999). Storage and executive processes in the frontal lobes. Science, 283, 16571661.Google Scholar
Trost, S., & Gruber, O. (2012). Evidence for a double dissociation of articulatory rehearsal and non-articulatory maintenance of phonological information in human verbal working memory. Neuropsychobiology, 65, 133140.Google Scholar
Vallar, G., & Baddeley, A. D. (1987). Phonological short-term store and sentence processing. Cognitive Neuropsychology, 4, 417438.Google Scholar
Vergauwe, E., Barrouillet, P. & Camos, V. (2009). Visual and spatial working memory are not that dissociated after all: A time-based resource-sharing account. Journal of Experimental Psychology: Learning, Memory & Cognition, 35, 10121028.Google Scholar
Vergauwe, E., Barrouillet, P. & Camos, V. (2010). Verbal and visuo-spatial working memory: A case for domain-general time-based resource sharing. Psychological Science, 21, 384390.Google Scholar
Vergauwe, E., Camos, V., & Barrouillet, P. (2014). The impact of storage on processing: Implications for structure and functioning of working memory. Journal of Experimental Psychology: Learning, Memory & Cognition, 40, 10721095.Google Scholar
Vygotsky, L. S. (1934). Thought and language. MIT Press.Google Scholar
Wechsler, D. (2014). Wechsler Intelligence Scale for Children: Fifth Edition technical and interpretive manual. NCS Pearson.Google Scholar
Wilson, S. M., Saygin, A. P., Sereno, M. I., & Iacoboni, M. (2004). Listening to speech activates motor areas involved in speech production. Nature Neuroscience, 7, 701702. http://dx.doi.org/10.1038/nn1263Google Scholar
Whorf, B. L. (1940). Science and linguistics. Technology Review, 42, 229231, 247–248.Google Scholar
Woodward, A. E., Bjork, R. A., & Jongeward, R. H. (1973). Recall and recognition as a function of primary rehearsal. Journal of Verbal Learning and Verbal Behavior, 12, 608617.Google Scholar

References

Andin, J., Holmer, E., Schönström, K., & Rudner, M. (2021). Working memory for signs with poor visual resolution: fMRI evidence of reorganization of auditory cortex in deaf signers. Cerebral Cortex. 31(7), 31653176.Google Scholar
Alickovic, E., Lunner, T., Gustafsson, F., & Ljung, L. (2019). A tutorial on auditory attention identification methods. Frontiers in Neuroscience, 13, 153.Google Scholar
Anderson, S., White-Schwoch, T., Parbery-Clark, A., & Kraus, N. (2013). A cognitive system supports speech-in-noise perception in older adults. Hearing Research, 300, 218232.Google Scholar
Arehart, K. H., Souza, P., Baca, R., & Kates, J. M. (2013). Working memory, age, and hearing loss: Susceptibility to hearing aid distortion. Ear and Hearing, 34(3), 251260.Google Scholar
Arlinger, S., Lunner, T., Lyxell, B., & Pichora-Fuller, M. (2009). The emergence of cognitive hearing science. Scandinavian Journal of Psychology, 50, 371384Google Scholar
Ayasse, N., Penn, L., & Wingfield, A. (2019). Variations within normal hearing acuity and speech comprehension: An exploratory study. American Journal of Audiology, 28(2), 369375.Google Scholar
Baddeley, A. (2000). The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4(11), 417423.Google Scholar
Baddeley, A. D. (2012). Working memory: Theories, models, and controversies. Annual Review of Psychology, 63, 129.Google Scholar
Baltes, P. B., & Lindenberger, U. (1997). Emergence of a powerful connection between sensory and cognitive functions across the adult lifespan: A new window to the study of cognitive aging? Psychology and Aging, 12(1), 1221.Google Scholar
Barrouillet, P., & Camos, V. (2020). The time-based resource-sharing model of working memory. In Logie, R. H., Camos, V., Cowan, N. (Eds), Working memory: State of the science. Oxford University Press.Google Scholar
Bavelier, D., Newman, A. J., Mukherjee, M., Hauser, P., Kemeny, S., Braun, A., et al. (2008). Encoding, rehearsal, and recall in signers and speakers: Shared network but differential engagement. Cerebral Cortex, 18, 22632274.Google Scholar
Blomberg, R., Danielsson, H., Rudner, M., Söderlund, G. B. W., & Rönnberg, J. (2019). Speech processing difficulties in Attention Deficit Hyperactivity Disorder. Frontiers in Psychology, 10, 1536.Google Scholar
Cardin, V., Orfanidou, E., Rönnberg, J., Capek, C. M., Rudner, M. & Woll, B. (2013). Dissociating cognitive and sensory neural plasticity in human superior temporal cortex. Nature Communications, 4, 1473.Google Scholar
Cardin, V., Rudner, M., De Oliveira, R. F., Andin, J., Su, M. T., Beese, L., Woll, B., & Rönnberg, J. (2018). The organization of working memory networks is shaped by early sensory experience. Cerebral Cortex, 28(10), 35403554.Google Scholar
Classon, E., Rudner, M., & Rönnberg, J. (2013). Working memory compensates for hearing related phonological processing deficit. Journal of Communication Disorders, 46(1), 1729.Google Scholar
Cowan, N. (2005). Working memory capacity. Psychology Press.Google Scholar
Craik, F., & Tulving, E. (1975). Depth of processing and the retention of words in episodic memory. Journal of Experimental Psychology: General, 104(3), 268294.Google Scholar
Daneman, M., & Carpenter, P. A. (1980). Individual differences in working memory and reading. Journal of Verbal Learning and Verbal Behavior, 19(4), 450466.Google Scholar
Decrui, L., Lesenfants, D., Vanthornhout, J., & Francart, T. (2020). Top-down modulation of neural envelope tracking: The interplay with behavioral, self-report and neural measures of listening effort. The European Journal of Neuroscience, 52(5), 33753393.Google Scholar
Ding, H., Ming, D., Wan, B., Li, Q., Qin, W., & Yu, C. (2016). Enhanced spontaneous functional connectivity of the superior temporal gyrus in early deafness. Scientific Reports, 6, 23239.Google Scholar
Eriksson, J., Vogel, E. K., Lansner, A., Bergström, F., & Nyberg, L. (2015). Neurocognitive architecture of working memory. Neuron, 88(1), 3346.Google Scholar
Farias, S. T., Lau, K., Harvey, D. J., Denny, K. G., Barba, C., & Mefford, A. N. (2017). Early functional limitations in cognitively normal older adults predict diagnostic conversion to mild cognitive impairment. Journal of the American Geriatrics Society, AA65 (6), 11521158.Google Scholar
Foo, C., Rudner, M., Rönnberg, J., & Lunner, T. (2007). Recognition of speech in noise with new hearing instrument compression release settings requires explicit cognitive storage and processing capacity. Journal of the American Academy of Audiology, 18, 553566.Google Scholar
Fortunato, S., Forli, F., Guglielmi, V., De Corso, E., Paludetti, G., Berrettini, S., & Fetoni, A. R. (2016). A review of new insights on the association between hearing loss and cognitive decline in ageing. Acta Otorhinolaryngologica Italica, 36, 155166.Google Scholar
Füllgrabe, C., & Rosen, S. (2016). On the (un)importance of working memory in speech-in-noise processing for listeners with normal hearing thresholds. Frontiers in Psychology, 7, 1268.Google Scholar
Gathercole, S. E. (2006). Nonword repetition and word learning: The nature of the relationship. Applied Psycholinguistics, 27(4), 513543.Google Scholar
Gray, S., Lancaster, H., Alt, M., Hogan, T. P., Green, S., Levy, R., & Cowan, N. (2020). The structure of word learning in young school-age children. Journal of Speech, Language, and Hearing Research, 63(5), 14461466.Google Scholar
Grosjean, F. (1980). Spoken word recognition processes and gating paradigm. Perception & Psychophysics, 28, 267283.Google Scholar
Hagerman, B. (1982). Sentences for testing speech intelligibility in noise. Scandinavian Audiology, 11, 7987.Google Scholar
Hällgren, M., Larsby, B., & Arlinger, S. (2006). A Swedish version of the hearing in noise test (HINT) for measurement of speech recognition. International Journal of Audiology, 45, 227237.Google Scholar
Han, M. K., Storkel, H. L., Lee, J., & Cox, C. (2016). The effects of phonotactic probability and neighborhood density on adults’ word learning in noisy conditions. American Journal of Speech-Language Pathology, 25, 547560.Google Scholar
Hewitt, D. (2017). Age-related hearing loss and cognitive decline: You haven’t heard the half of it. Frontiers in Aging Neuroscience, 9, 112.Google Scholar
Hickok, G., & Poeppel, D. (2007). The cortical organization of speech processing. Nature Reviews Neuroscience, 8, 393402.Google Scholar
Holmer, E., Heimann, M., & Rudner, M. (2016). Imitation, sign language skill and the developmental Ease of Language Understanding (D-ELU) Model. Frontiers in Psychology, 7, 107.Google Scholar
Holmer, E., & Rudner, M. (2020). Developmental Ease of Language Understanding mode and literacy acquisition: Evidence from deaf and hard-of-hearing signing children. In Wang, Q. Y. & Andrews, J. F. (Eds.), Multiple paths to become literate: International perspective in deaf education. Gallaudet University Press.Google Scholar
Holmer, E., & Witte, E. (unpublished manuscript). Phonotactic probability and phonological neighborhood density interact in word learning in Swedish schoolchildren.Google Scholar
Hoover, J. R., Storkel, H. L., & Hogan, T. P. (2010). A cross-sectional comparison of the effects of phonotactic probability and neighborhood density on word learning by preschool children. Journal of Memory and Language, 63(1), 100116.Google Scholar
Hua, H., Johansson, B., Lyxell, B., Magnusson, L., & Ellis, R. J. (2017). Speech recognition and cognitive skills in bimodal cochlear implant users. Journal of Speech, Language, and Hearing Research, 60(9), 112.Google Scholar
Humes, L. E., Busey, T. A., Craig, J., & Kewley-Port, D. (2013). Are age-related changes in cognitive function driven by age-related changes in sensory processing? Attention, Perception, & Psychophysics, 75, 508524.Google Scholar
Kennedy-Higgins, D., Devlin, J. T., & Adank, P. (2020). Cognitive mechanisms underpinning successful perception of different speech distortions. Journal of the Acoustical Society of America, 147(4), 27282740.Google Scholar
Kilman, L., Zekveld, A., Hällgren, M., & Rönnberg, J. (2014). The influence of non-native language proficiency on speech perception performance. Frontiers in Psychology, 5, 651.Google Scholar
Kilman, L., Zekveld, A., Hällgren, M., & Rönnberg, J. (2015). Native and non-native speech perception by hearing-impaired listeners in noise- and speech maskers. Trends in Hearing, 19.Google Scholar
Kraus, N., & White-Schwoch, T. (2015). Unraveling the biology of auditory learning: A cognitive sensorimotor- reward framework. Trends in Cognitive Science, 19, 642654.Google Scholar
Lin, F. (2011). Hearing loss and cognition among older adults in the United States. The Journals of Gerontology: Series A, 66A(10), 11311136.Google Scholar
Lin, F. R., Ferrucci, L., An, Y., Goh, J. O., Doshi, J., Metter, E. J., (… ) Resnick, S. M. (2014). Association of hearing impairment with brain volume changes in older adults. NeuroImage, 90, 8492.Google Scholar
Lin, F. R., Metter, E. J., O’Brien, R. J., Resnick, S. M., Zonderman, A. B., & Ferrucci, L. (2011). Hearing loss and incident dementia. Archives of Neurology, 68(2), 214220.Google Scholar
Livingston, G., Sommerlad, A., Orgeta, V., Costafreda, S. G., Huntley, J., Ames, D.,…Mukadam, N. (2017). Dementia prevention, intervention, and care. Lancet, 390, 2673–734.Google Scholar
Luce, P. A., & Pisoni, D. B. (1998). Recognizing spoken words: The neighborhood activation model. Ear and Hearing, 19(1), 136.Google Scholar
Lunner, T. (2003). Cognitive function in relation to hearing aid use. International Journal of Audiology, 42(Suppl 1), 4958.Google Scholar
Lunner, T., Rudner, M., & Rönnberg, J. (2009). Cognition and hearing aids. Scandinavian Journal of Psychology, 50(5), 395403.Google Scholar
Lunner, T., & Sundewall-Thorén, E. (2007). Interactions between cognition, compression, and listening conditions: Effects on speech-in-noise performance in a 2-channel hearing aid. Journal of the American Academy of Audiology, 18(7), 604617.Google Scholar
McGurk, H., & MacDonald, J. (1976). Hearing lips and seeing voices. Nature, 264(5588), 746748.Google Scholar
Marsh, J. E., & Campbell, T. A. (2016). Processing complex sounds passing through the rostral brain stem: The New Early Filter Model. Frontiers in Neuroscience, 10, 136.Google Scholar
MacSweeney, M., Capek, C. M., Campbell, R., & Woll, B. (2008). The signing brain: The neurobiology of sign language. Trends in Cognitive Science, 12, 432440.Google Scholar
Mattys, S. L., Davis, M. H., Bradlow, A. R., & Scott, S. (2012). Speech recognition in adverse conditions: A review. Language and Cognitive Processes, 27(7–8), 953978.Google Scholar
Moradi, S., Lidestam, B., Ng, E. H. N., Danielsson, H., & Rönnberg, J. (2017). Visual cues contribute differentially in audiovisual perception of consonants and vowels in improving recognition and reducing cognitive demands. Journal of Speech, Language, and Hearing Research, 60, 26872703.Google Scholar
Moradi, S., Lidestam, B., & Rönnberg, J. (2013). Gated audiovisual speech identification in silence vs. noise: Effects on time and accuracy. Frontiers in Psychology, 4, 359.Google Scholar
Moradi, S., Lidestam, B., Saremi, A., & Rönnberg, J. (2014). Gated auditory speech perception: Effects of listening conditions and cognitive capacity. Frontiers in Psychology, 5, 531.Google Scholar
Näätänen, R., & Escera, C. (2000). Mismatch negativity: Clinical and other applications. Audiology and Neurootology, 5, 105110.Google Scholar
Ng, E. H. N., & Rönnberg, J. (2020). Hearing aid experience and background noise affect the robust relationship between working memory and speech recognition in noise. International Journal of Audiology, 59(3), 208218.Google Scholar
Ng, E. H. N., Rudner, M., Lunner, T., Pedersen, M. S., & Rönnberg, J. (2013). Effects of noise and working memory capacity on memory processing of speech for hearing-aid users. International Journal of Audiology, 52(7), 433441.Google Scholar
Ng, E. H. N., Rudner, M., Lunner, T., & Rönnberg, J. (2015). Noise reduction improves memory for target language speech in competing native but not foreign language speech. Ear and Hearing, 36(1), 8291.Google Scholar
Peelle, J. E., Troiani, V., Grossman, M., & Wingfield, A. (2011). Hearing loss in older adults affects neural systems supporting speech comprehension. Journal of Neuroscience, 31,1263812643.Google Scholar
Peelle, J. E., & Wingfield, A. (2016). The neural consequences of age-related hearing loss. Trends in Neuroscience, 39(7), 486497.Google Scholar
Poeppel, D., Idsardi, W. J., & van Wassenhove, V. (2008). Speech perception at the interface of neurobiology and linguistics. Philosophical Transactions of the Royal Society B: Biological Sciences, 363, 10711086.Google Scholar
Roberts, K. L., & Allen, H. A. (2016). Perception and cognition in the ageing brain: A brief review of the short- and long-term links between perceptual and cognitive decline. Frontiers in Aging Neuroscience, 8, 39.Google Scholar
Rudner, M., Foo, C., Rönnberg, J., & Lunner, T. (2009). Cognition and aided speech recognition in noise: Specific role for cognitive factors following nine-week experience with adjusted compression settings in hearing aids. Scandinavian Journal of Psychology, 50(5), 405418.Google Scholar
Rudner, M., Foo, C., Sundewall Thorén, E., Lunner, T., & Rönnberg, J. (2008). Phonological mismatch and explicit cognitive processing in a sample of 102 hearing aid users. International Journal of Audiology, 47 (Suppl. 2), S163S170.Google Scholar
Rudner, M., Fransson, P., Ingvar, M., Nyberg, L. & Rönnberg, J. (2007). Neural representation of binding lexical signs and words in the episodic buffer of working memory. Neuropsychologia, 45(10), 22582276.Google Scholar
Rudner, M., Seeto, M., Keidser, G., Johnson, B., & Rönnberg, J. (2019). Poorer speech reception threshold in noise is associated with reduced brain volume in auditory and cognitive processing regions. Journal of Speech, Language, and Hearing Research, 62(4S), 11171130.Google Scholar
Rönnberg, J. (2003). Cognition in the hearing impaired and deaf as a bridge between signal and dialogue: A framework and a model. International Journal of Audiology, 42 (Suppl. 1), S68S76.Google Scholar
Rönnberg, J. Arlinger, S., Lyxell, B., & Kinnefors, C. (1989). Visual evoked potentials: Relation to adult speechreading and cognitive function. Journal of Speech and Hearing Research, 32(4), 725735.Google Scholar
Rönnberg, J., Danielsson, H., Rudner, M., Arlinger, S., Sternäng, O., Wahlin, Å., & Nilsson, , L-G. (2011). Hearing loss is negatively related to episodic and semantic long-term memory but not to short-term memory. Journal of Speech, Language, and Hearing Research, 54, 705726.Google Scholar
Rönnberg, J., Holmer, E., & Rudner, M. (2019). Cognitive hearing science and ease of language understanding. International Journal of Audiology, 58(5), 247261.Google Scholar
Rönnberg, J., Holmer, E., & Rudner, M. (2021). Cognitive hearing science: Three memory systems, two approaches, and the ease of language understanding model. Journal of Speech, Language, and Hearing Research, 64(2), 359370.Google Scholar
Rönnberg, J., Hygge, S., Keidser, G., & Rudner, M. (2014). The effect of functional hearing loss and age on long- and short-term visuospatial memory: Evidence from the UK Biobank Resource. Frontiers in Aging Neuroscience, 6, 326.Google Scholar
Rönnberg, J., Lunner, T., Ng, E. H. N., Lidestam, B., Zekveld, A. A., Sörqvist, P., ( … ) Stenfelt, S. (2016). Hearing impairment, cognition and speech understanding: Exploratory factor analyses of a comprehensive test battery for a group of hearing aid users, the n200 Study. International Journal of Audiology, 55(11), 623642.Google Scholar
Rönnberg, J., Lunner, T., Zekveld, A. A., Sörqvist, P., Danielsson, H., Lyxell, B., (…) Rudner, M. (2013). The Ease of Language Understanding (ELU) model: Theoretical, empirical, and clinical advances. Frontiers in Systems Neuroscience, 7, 31.Google Scholar
Rönnberg, J., Rudner, M., Foo, C., & Lunner, T. (2008). Cognition counts: A working memory system for Ease of Language Understanding (ELU). International Journal of Audiology, 47 (Suppl 2), S99S105.Google Scholar
Rönnberg, J., Rudner, M. & Ingvar, M. (2004). Neural correlates of working memory for sign language. Cognitive Brain Research, 20, 165182.Google Scholar
Schneider, B. A., Daneman, M., & Pichora-Fuller, M. K. (2002). Listening in aging adults: From discourse comprehension to psychoacoustics. Canadian Journal of Experimental Psychology, 56, 139152.Google Scholar
Signoret, C., Andersen, L. M., Dahlström, Ö., Blomberg, R, Lundqvist, D., Rudner, M., & Rönnberg, J. (2020) The influence of form- and meaning-based predictions on cortical speech processing under challenging listening conditions: A MEG Study. Frontiers in Neuroscience, 14, 573254Google Scholar
Signoret, C., Johnsrude, I., Classon, E., & Rudner, M. (2018). Combined effects of form- and meaning-based predictability on perceived clarity of speech. Journal of Experimental Psychology: Human Performance and Perception, 44(2), 277285.Google Scholar
Signoret, C., & Rudner, M. (2019). Hearing impairment and perceived clarity of predictable speech. Ear and Hearing, 40 (5), 11401148.Google Scholar
Sommers, M. S. (1996). The structural organization of the mental lexicon and its contribution to age-related declines in spoken-word recognition. Psychology and Aging, 11, 333341.Google Scholar
Souza, P., Arehart, K. H., Shen, J., Anderson, M., & Kates, J. M. (2015). Working memory and intelligibility of hearing-aid processed speech. Frontiers in Psychology, 6, 526.Google Scholar
Souza, P., Arehart, K., Schoof, T., Anderson, M., Strori, D., & Balmert, L. (2019). Understanding variability in individual response to hearing aid signal processing in wearable hearing aids. Ear and Hearing, 40(6), 12801292.Google Scholar
Souza, P., & Sirow, L. (2014). Relating working memory to compression parameters in clinically fit hearing aids. American Journal of Audiology, 23(4), 394401.Google Scholar
Stamate, A., Logie, R. H., Baddeley, A. D., & Sala, S. D. (2020). Forgetting in Alzheimer’s disease: Is it fast? Is it affected by repeated retrieval? Neuropsychologia, 138, 107351.Google Scholar
Sörqvist, P., Dahlström, Ö., Karlsson, T., & Rönnberg, T. J. (2016). Concentration: The neural underpinnings of how cognitive load shields against distraction. Frontiers in Human Neuroscience, 10, 221.Google Scholar
Sörqvist, P., & Rönnberg, J. (2012). Episodic long-term memory of spoken discourse masked by speech: What is the role for working memory capacity? Journal of Speech, Language, and Hearing Research, 55(1), 210218.Google Scholar
Sörqvist, P., Stenfelt, S., & Rönnberg, J. (2012). Working memory capacity and visual-verbal cognitive load modulate auditory-sensory gating in the brainstem: Toward a unified view of attention. Journal of Cognitive Neuroscience, 24(11), 21472154.Google Scholar
Verhaegen, C., Collette, F., & Majerus, S. (2014). The impact of aging and hearing status on verbal short-term memory: Neuropsychology, development, and cognition. B Aging Neuropsychology and Cognition, 21, 464482.Google Scholar
Wayne, R. V., & Johnsrude, I. S. (2015). A review of causal mechanisms underlying the link between age-related hearing loss and cognitive decline. Ageing Research Reviews, 23(Pt B), 154166.Google Scholar
Wild, C. J., Yusuf, A., Wilson, E., Peelle, J. P., Davis, M. H., & Johnsrude, I. S. (2012). Effortful Listening: The processing of degraded speech depends critically on attention. Journal of Neuroscience, 32(40), 1401014021.Google Scholar
Zekveld, A. A., Rudner, M., Johnsrude, I. S., Festen, J. M., van Beek, J. H. M., & Rönnberg, J. (2011). The influence of semantically related and unrelated text cues on the intelligibility of sentences in noise. Ear and Hearing, 32(6), e16e25.Google Scholar
Zekveld, A. A., Rudner, M., Johnsrude, I. S., & Rönnberg, J. (2013). The effects of working memory capacity and semantic cues on the intelligibility of speech in noise. Journal of the Acoustical Society of America, 134(3), 22252234.Google Scholar

References

Alloway, T. P. (2007). Automated working memory assessment. Harcourt Assessment.Google Scholar
Alloway, T. P., Gathercole, S. E., & Pickering, S. J. (2006). Verbal and visuo-spatial short-term and working memory in children: Are they separable? Child Development, 77, 16981716.Google Scholar
Baddeley, A. D. (1986). Working memory. Oxford University Press.Google Scholar
Baddeley, A. D. (2000). The episodic buffer: A new component in working memory? Trends in Cognitive Science, 4, 417423.Google Scholar
Baddeley, A. D. (2006). Working memory: An overview. In Pickering, S. J. (Ed.), Working memory and education (pp. 131). Academic Press.Google Scholar
Baddeley, A. D., & Hitch, G. J. (1974). Working memory. In Bower, G. A., (Ed.), Recent advances in learning and motivation (Vol. 8, pp. 4789). Academic Press.Google Scholar
Baldo, J. V., & Dronkers, N. F. (2006). The role of the inferior parietal and inferior frontal cortex in working memory. Neuropsychology, 20, 529538.Google Scholar
Bayliss, D. M., Jarrold, C., Baddeley, A. D., & Gunn, D. M. (2003). The complexities of complex span: Explaining individual differences in working memory in children and adults. Journal of Experimental Psychology: General, 132, 7192.Google Scholar
Briscoe, J., Gathercole, S. E., & Marlow, N. (2001). Everyday memory and cognitive ability in children born very prematurely. Journal of Child Psychology and Psychiatry, 42, 749754.Google Scholar
Bunge, S. A., & Wright, S. B. (2007). Neurodevelopmental changes in working memory and cognitive control. Current Opinion in Neurobiology, 17, 243250.Google Scholar
Cohen-Mimran, R., & Sapir, S. (2007). Deficits in working memory in young adults with reading disabilities. Journal of Communication Disorders, 40, 168183.Google Scholar
Compton, D. L., Fuchs, L. S., Fuchs, D., Lambert, W., & Hamlett, C. L. (2012). The cognitive and academic profiles of reading and mathematics learning disabilities. Journal of Learning Disabilities, 45, 7995.Google Scholar
Conway, A. R. A., Cowan, N., & Bunting, M. F. (2001). The cocktail party revisited: The importance of working memory capacity. Psychonomic Bulletin & Review, 8, 331335.Google Scholar
Cornish, K., Wilding, J., & Grant, C. (2006). Deconstructing working memory in developmental disorders of attention. In Pickering, S. J. (Ed.), Working memory and education (pp. 157188). Academic Press.Google Scholar
Cowan, N. (1995). Attention and memory: An integrated framework. Oxford Psychology Series, 26.: Oxford University Press.Google Scholar
Cowan, N. (2005). Working memory capacity. Erlbaum.Google Scholar
De Beni, R., & Palladino, P. (2000). Intrusion errors in working memory tasks: Are they related to reading comprehension ability. Learning and Individual Differences, 12, 131145.Google Scholar
Dehn, M. J. (2008). Working memory and academic learning: Assessment and intervention. Wiley.Google Scholar
Dehn, M. J. (2011). Helping students remember: Exercises and strategies to strengthen memory. Wiley.Google Scholar
Dehn, M. J. (2014). Essentials of processing assessment (2nd Ed). Wiley.Google Scholar
Dehn, M. J. (2015). Essentials of working memory assessment and intervention.: Wiley.Google Scholar
Dehn, M. J. (2017). How working memory enables fluid reasoning. Applied Neuropsychology Child, 6(3), 245247. doi: 10.1080/21622965.2017.1317490Google Scholar
Dehn, M. J. (2018). Memory processes analyzer 3.0.: Schoolhouse Educational Services.Google Scholar
Dehn, M. J. (2020). Psychological processing analyzer 8.0. Schoolhouse Educational Services.Google Scholar
de Jong, P. (2006). Understanding normal and impaired reading development: A working memory perspective. In Pickering, S. (Ed.), Working memory and education (pp. 3360). Academic Press.Google Scholar
Engle, R. W. (2002). Working memory capacity as executive attention. Current Directions in Psychological Science, 11(1), 1923.Google Scholar
Engle, R. W., Carullo, J. J., & Collins, K. W. (1991). Individual differences in working memory for comprehension and following directions. Journal of Educational Research, 84, 253262.Google Scholar
Engle, R. W., Kane, M. J., & Tuholski, S.W. (1999). Individual differences in working memory capacity and what they tell us about controlled attention, general fluid intelligence and functions of the prefrontal cortex. In Miyake, A. & Shah, P. (Eds.), Models of working memory: Mechanisms of active maintenance and executive control (pp. 102134).Cambridge University Press.Google Scholar
Frisco-van den Bos, I., van der Ven, S. H. G., Kroesbergen, E. H., & van Luit, J. E. H. (2013). Working memory and mathematics in primary school children: A meta-analysis. Educational Research Review, 10, 2944.Google Scholar
Fry, A. F., & Hale, S. (1996). Processing speed, working memory, and fluid intelligence: Evidence for a developmental cascade. Psychological Science, 7, 237241.Google Scholar
Gathercole, S. E., & Alloway, T. P. (2008). Working memory and learning: A practical guide for teachers. SAGE.Google Scholar
Gathercole, S. E., Lamont, E., & Alloway, T. P. (2006). Working memory in the classroom. In Pickering, S. J. (Ed.), Working memory and education (pp. 219240). Academic Press.Google Scholar
Gathercole, S. E., & Pickering, S. J. (2000). Assessment of working memory in six- and seven-year-old children. Journal of Educational Psychology, 92, 377390.Google Scholar
Gillon, G. T. (2004). Phonological awareness. Guilford Press.Google Scholar
Hedden, T., & Yoon, C. (2006). Individual differences in executive processing predict susceptibility to interference in verbal working memory. Neuropsychology, 20, 511528.Google Scholar
Hitch, G. J., Towse, J. N., & Hutton, U. (2001). What limits children’s working memory capacity? Theoretical accounts and applications for scholastic development. Journal of Experimental Psychology: General, 130, 183198.Google Scholar
Hulme, C., & Mackenzie, S. (1992). Working memory and severe learning difficulties. Lawrence Erlbaum.Google Scholar
Kasper, L. J., Alderson, R. M., & Hudec, K. L. (2012). Moderators of working memory deficits in children with attention-deficit/hyperactivity disorder (ADHD): A meta-analytic review. Clinical Psychology Review, 32, 605617.Google Scholar
Keith, T. Z., Fine, J. G., Taub, G. E., Reynolds, M. R., & Kranzler, J. H. (2006). Higher order, multi-sample, confirmatory factor analysis of the Wechsler Intelligence Scale for Children—Fourth Edition: What does it measure? School Psychology Quarterly, 12, 89107.Google Scholar
Klingberg, T. (2010). Training and plasticity of working memory. Trends in Cognitive Sciences, 14, 317324.Google Scholar
Korkman, M., Kirk, U., & Kemp, S. (2007). NEPSY-II: A developmental neuropsychological assessment. Psychological Corporation.Google Scholar
Linden, D. E. J. (2007). The working memory networks of the human brain. Neuroscientist, 13, 257267.Google Scholar
Martinussen, R., Hayden, J., Hogg-Johnson, S., & Tannock, R. (2005). A meta-analysis of working memory impairments in children with attention-deficit/hyperactivity disorder. Journal of the American Academy of Child and Adolescent Psychiatry, 44, 377384.Google Scholar
Martinussen, R., & Tannock, R. (2006). Working memory impairments in children with attention-deficit hyperactivity disorder with and without comorbid language learning disorders. Journal of Clinical and Experimental Neuropsychology, 28, 10731094.Google Scholar
Melby-Lervåg, M., & Hulme, C. (2013). Is working memory training effective? A meta-analytic review. Developmental Psychology, 49(2), 270291. doi:10.1037/a0028228Google Scholar
Miyake, A., Friedman, N. P., Emerson, M. J., Witski, A. H., & Howerter, A. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41, 49100.Google Scholar
Moser, D. D., Fridriksson, J., & Healy, E. W. (2007). Sentence comprehension and general working memory. Clinical Linguistics & Phonetics, 21, 147156.Google Scholar
Palmer, S. (2000). Phonological recoding deficit in working memory of dyslexic teenagers. Journal of Research in Reading, 23, 2840.Google Scholar
Pickering, S. J. (2006). Working memory in dyslexia. In Alloway, T. P. & Gathercole, S. E. (Eds.), Working memory and neurodevelopmental disorders (pp. 740). Psychology Press.Google Scholar
Prabhakaran, V., Narayanan, K., Zhao, Z., & Gabrieli, J. D. E. (2000). Integration of diverse information in working memory within the frontal lobe. Nature Neuroscience, 3, 8590.Google Scholar
Roid, G. H. (2003). Stanford-Binet Intelligence Scales. 5th ed.: Riverside Publishing.Google Scholar
Sattler, J. M. (2020). Assessment of children: Cognitive foundations and applications 6th ed.). Jerome M. Sattler.Google Scholar
Schecklmann, M., Ehlis, A.-C., Plichta, M. M., Dresler, T., Heine, M., Boreatti-Hummer, A., … F allgatter, A. J. (2014). Working memory and response inhibition as one integral phenotype of adult ADHD? A behavioral and imaging correlational investigation. Journal of Attention Disorders, 17(6), 470482.Google Scholar
Schneider, J. W., & McGrew, K. S. (2012). The Cattell-Horn-Carroll (CHC) model of intelligence. In Flanagan, D. P., & Harrison, P. L. (Eds.), Contemporary intellectual assessment (3rd ed., pp. 99144). Guilford Press.Google Scholar
Schrank, F. A., McGrew, K. S., & Mather, N. (2014). Woodcock-Johnson IV tests of cognitive abilities. Riverside.Google Scholar
Siegel, L. S., & Ryan, E. B. (1989). The development of working memory in normally achieving and subtypes of learning disabilities. Child Development, 60, 973980.Google Scholar
Smith, E. E., & Jonides, J. (1997). Working memory: A view from neuroimaging. Cognitive Psychology, 33, 542.Google Scholar
Soto, D., Heinke, D., Humphreys, G. W., & Blanco, M. J. (2005). Early involuntary top-down guidance of attention from working memory. Journal of Experimental Psychology: Human Perception and Performance, 31, 248261.Google Scholar
St. Clair-Thompson, H. (2011). Executive functions and working memory behaviours in children with a poor working memory. Learning and Individual Differences, 21, 409414.Google Scholar
Swanson, H. L. (2006). Cross-sectional and incremental changes in working memory and mathematical problem solving. Journal of Educational Psychology, 98, 265281.Google Scholar
Swanson, H. L. (2011). Working memory, attention, and mathematical problem solving: A longitudinal study of elementary school children. Journal of Educational Psychology, 103, 821837.Google Scholar
Swanson, H. L., & Berninger, V. W. (1995). The role of working memory in skilled and less skilled readers’ comprehension. Intelligence, 21, 83108.Google Scholar
Swanson, H. L., & Berninger, V. W. (1996). Individual differences in children’s working memory and writing skill. Journal of Experimental Child Psychology, 63, 358385.Google Scholar
Swanson, H. L., & Jerman, O. (2007). The influence of working memory on reading growth in subgroups of children with disabilities. Journal of Experimental Child Psychology, 96, 249283.Google Scholar
Swanson, H. L., Zheng, X., & Jerman, O. (2009). Working memory, short-term memory, and learning disabilities: A selective meta-analysis of the literature. Journal of Learning Disabilities, 42, 260287.Google Scholar
Vanderberg, R., & Swanson, H. L. (2007). Which components of working memory are important in the writing process? Reading and Writing, 20, 721752.Google Scholar
Wagner, R. K. (1996). From simple structure to complex function: Major trends in the development of theories, models, and measurements of memory. In Lyon, G. R. & Krasnegor, N. A. (Eds.), Attention, memory, and executive function (pp. 139156). Brookes.Google Scholar
Wang, S., & Gathercole, S. E. (2013). Working memory deficits in children with reading difficulties: Memory span and dual task coordination. Journal of Experimental Child Psychology, 115, 188197.Google Scholar

References

Ackerman, P. L., & Hambrick, D. Z. (2020). A primer on assessing intelligence in laboratory studiesIntelligence80, 101440.Google Scholar
Baddeley, A. (1992). Working memoryScience255(5044), 556559.Google Scholar
Baddeley, A. (2002). Is working memory still working? European Psychologist7, 8597.Google Scholar
Baddeley, A., & Hitch, G. (1974). Working memory. In Psychology of learning and motivation (Vol. 8, pp. 4789). Academic press.Google Scholar
Blankenship, T. L., Slough, M. A., Calkins, S. D., Deater‐Deckard, K., Kim‐Spoon, J., & Bell, M. A. (2019). Attention and executive functioning in infancy: Links to childhood executive function and reading achievementDevelopmental Science22, e12824.Google Scholar
Bock, J. K., & Miller, C. A. (1991). Broken agreementCognitive Psychology23, 4593.Google Scholar
Broadway, J. M., & Engle, R. W. (2010). Validating running memory span: Measurement of working memory capacity and links with fluid intelligenceBehavior Research Methods42, 563570.Google Scholar
Burgoyne, A. P., & Engle, R. (2020). Attention control: A cornerstone of higher-order cognitionCurrent Directions in Psychological Science, 29(6), 624630.Google Scholar
Burgoyne, A. P., Hambrick, D. Z., & Altmann, E. M. (2019a). Is working memory capacity a causal factor in fluid intelligence? Psychonomic Bulletin & Review26, 13331339.Google Scholar
Burgoyne, A. P., Hambrick, D. Z., & Altmann, E. M. (2019b). Placekeeping ability as a component of fluid intelligence: Not just working memory capacityThe American Journal of Psychology132, 439449.Google Scholar
Burgoyne, A. P., Tsukahara, J. S., Draheim, C., & Engle, R. W. (2020). Differential and experimental approaches to studying intelligence in humans and nonhuman animals. Learning & Motivation, 72.Google Scholar
Caplan, D., & Waters, G. S. (1999). Verbal working memory and sentence comprehensionBehavioral and Brain Sciences22, 77126.Google Scholar
Chiou, J. S., & Spreng, R. A. (1996). The reliability of difference scores: A re-examinationJournal of Consumer Satisfaction Dissatisfaction and Complaining Behavior9, 158167.Google Scholar
Conway, A. R., Cowan, N., & Bunting, M. F. (2001). The cocktail party phenomenon revisited: The importance of working memory capacityPsychonomic Bulletin & Review8, 331335.Google Scholar
Cronbach, L. J., & Furby, L. (1970). How should we measure “change” – or should we? Psychological Bulletin, 74, 6880.Google Scholar
Crowder, R. G. (1982). The demise of short-term memoryActa Psychologica50, 291323.Google Scholar
Daneman, M., & Carpenter, P. A. (1980). Individual differences in working memory and readingJournal of Memory and Language19, 450466.Google Scholar
Daneman, M., & Green, I. (1986). Individual differences in comprehending and producing words in contextJournal of Memory and Language25, 118.Google Scholar
Daneman, M., & Merikle, P. M. (1996). Working memory and language comprehension: A meta-analysisPsychonomic Bulletin & Review3, 422433.Google Scholar
Delaney, P. F. (2018). The role of long-term working memory and template theory in contemporary expertise researchJournal of Expertise, 3, 155161.Google Scholar
Draheim, C., Harrison, T. L., Embretson, S. E., & Engle, R. W. (2018). What item response theory can tell us about the complex span tasks. Psychological Assessment, 30, 116129.Google Scholar
Draheim, C., Hicks, K. L., & Engle, R. W. (2016). Combining reaction time and accuracy: The relationship between working memory capacity and task-switching as a case example. Perspectives on Psychological Science, 11, 133155.Google Scholar
Draheim, C., Mashburn, C. A., Martin, J. D., & Engle, R. W. (2019). Reaction time in differential and development research: A review and commentary on problems and alternatives. Psychological Bulletin, 145, 508535.Google Scholar
Draheim, C., Tsukahara, J. S., Martin, J. D., Mashburn, C. A., & Engle, R. W. (2021). A toolbox approach to improving the measurement of attention controlJournal of Experimental Psychology: General, 150(2), 242-275.Google Scholar
Engle, R. W., Carullo, J. J., & Collins, K. W. (1991). Individual differences in working memory for comprehension and following directionsThe Journal of Educational Research84, 253262.Google Scholar
Engle, R. W., Tuholski, S. W., Laughlin, J. E., & Conway, A. R. (1999). Working memory, short-term memory, and general fluid intelligence: A latent-variable approachJournal of Experimental Psychology: General128, 309331.Google Scholar
Engel de Abreu, P. M. J. E., Gathercole, S. E., & Martin, R. (2011). Disentangling the relationship between working memory and language: The roles of short-term storage and cognitive controlLearning and Individual Differences21, 569574.Google Scholar
Farnham-Diggory, S., & Gregg, L. W. (1975). Short-term memory function in young readersJournal of Experimental Child Psychology19, 279298.Google Scholar
Foster, J. L., Shipstead, Z., Harrison, T. L., Hicks, K. L., Redick, T. S., & Engle, R. W. (2015). Shortened complex span tasks can reliably measure working memory capacityMemory & Cognition43, 226236.Google Scholar
Friedman, N. P., & Miyake, A. (2004). The relations among inhibition and interference control functions: A latent-variable analysis. Journal of Experimental Psychology: General, 133, 101135.Google Scholar
Gathercole, S. E., & Baddeley, A. D. (1993). Working memory and language. Erlbaum.Google Scholar
Gernsbacher, M. A. (1990). Language comprehension as structure building. Psychology Press.Google Scholar
Hale, S., Myerson, J., Rhee, S. H., Weiss, C. S., & Abrams, R. A. (1996). Selective interference with the maintenance of location information in working memoryNeuropsychology10, 228240.Google Scholar
Hambrick, D. Z., & Altmann, E. M. (2015). The role of placekeeping ability in fluid intelligencePsychonomic Bulletin & Review22, 11041110.Google Scholar
Harrison, T. L. (2017). N-back as a measure of working memory capacity. (Ph.D. dissertation, Georgia Institute of Technology). http://hdl.handle.net/1853/58762Google Scholar
Hedge, C., Powell, G., Bompas, A., & Sumner, P. (2020, February 1). Strategy and processing speed eclipse individual differences in control ability in conflict tasks. PsyArXiv. https://doi.org/10.31234/osf.io/vgpxqGoogle Scholar
Hedge, C., Powell, G., & Sumner, P. (2018). The reliability paradox: Why robust cognitive tasks do not produce reliable individual differences. Behavior Research Methods, 50, 11661186.Google Scholar
Heitz, R. P., & Engle, R. W. (2007). Focusing the spotlight: Individual differences in visual attention control. Journal of Experimental Psychology: General, 136, 217240.Google Scholar
Hunt, E, Frost, N, Lunneborg, C. (1973). Individual differences in cognition: A new approach to intelligence. In Bower, G. H., (Ed.), The psychology of learning and motivation: Advances in research and theory (pp. 87122). Academic PressGoogle Scholar
Jackson, M. D., & McClelland, J. L. (1979). Processing determinants of reading speedJournal of Experimental Psychology: General108, 151181.Google Scholar
Just, M. A., & Carpenter, P. A. (1992). A capacity theory of comprehension: Individual differences in working memoryPsychological Review99, 122149.Google Scholar
Kane, M. J., Bleckley, M. K., Conway, A. R., & Engle, R. W. (2001). A controlled-attention view of working-memory capacityJournal of Experimental Psychology: General130, 169183.Google Scholar
Kane, M. J., & Engle, R. W. (2002). The role of prefrontal cortex in working-memory capacity, executive attention, and general fluid intelligence: An individual-differences perspectivePsychonomic Bulletin & Review9, 637671.Google Scholar
Kane, M. J., & Engle, R. W. (2003). Working-memory capacity and the control of attention: The contributions of goal neglect, response competition, and task set to Stroop interference. Journal of Experimental Psychology: General, 132, 4770.Google Scholar
Kintsch, W., & Van Dijk, T. A. (1978). Toward a model of text comprehension and productionPsychological Review85, 363394.Google Scholar
Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford.Google Scholar
Kramer, A. F., Humphrey, D. G., Larish, J. F., & Logan, G. D. (1994). Aging and inhibition: Beyond a unitary view of inhibitory processing in attentionPsychology and Aging9, 491512.Google Scholar
MacLeod, C. M. (1991). Half a century of research on the Stroop effect: An integrative review. Psychological Bulletin, 109, 163203Google Scholar
Martin, J. D., Shipstead, Z., Harrison, T. L., Redick, T. S., Bunting, M., & Engle, R. W. (2020). The role of maintenance and disengagement in predicting reading comprehension and vocabulary learningJournal of Experimental Psychology: Learning, Memory, and Cognition46, 140154.Google Scholar
McVay, J. C., & Kane, M. J. (2012). Why does working memory capacity predict variation in reading comprehension? On the influence of mind wandering and executive attentionJournal of Experimental Psychology: General141, 302320.Google Scholar
Moray, N. (1959). Attention in dichotic listening: Affective cues and the influence of instructionsQuarterly Journal of Experimental Psychology11, 5660.Google Scholar
Oswald, F. L., McAbee, S. T., Redick, T. S., & Hambrick, D. Z. (2015). The development of a short domain–general measure of working memory capacityBehavior Research Methods47, 13431355.Google Scholar
Paap, K. R., & Sawi, O. (2016). The role of test-retest reliability in measuring individual and group differences in executive functioning. Journal of Neuroscience Methods, 274, 8193.Google Scholar
Perfetti, C. A., & Goldman, S. R. (1976). Discourse memory and reading comprehension skillJournal of Verbal Learning and Verbal Behavior15, 3342.Google Scholar
Perfetti, C. A., & Lesgold, A. M. (1977). Discourse comprehension and sources of individual differences. In Just, M. A. and Carpenter, P. A. (Eds.), Cognitive processes in comprehension. Lawrence Erlbaum Associates.Google Scholar
Raven, J. C., & Court, J. H. (1998). Raven’s progressive matrices and vocabulary scales. Oxford Pyschologists Press.Google Scholar
Redick, T. S., & Lindsey, D. R. (2013). Complex span and n-back measures of working memory: A meta-analysisPsychonomic Bulletin & Review20, 11021113.Google Scholar
Rey-Mermet, A., Gade, M., & Oberauer, K. (2018). Should we stop thinking about inhibition? Searching for individual and age differences in inhibition ability. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44 (4), 501.Google Scholar
Rizzo, N. D. (1939). Studies in visual and auditory memory span with special reference to reading disabilityThe Journal of Experimental Education8, 208244.Google Scholar
Rouder, J. N., & Haaf, J. M. (2019). A psychometrics of individual differences in experimental tasks. Psychonomic Bulletin & Review, 26, 772789.Google Scholar
Rouder, J., Kumar, A., & Haaf, J. M. (2019, March 25). Why most studies of individual differences with inhibition tasks are bound to fail. https://doi.org/10.31234/osf.io/3cjr5Google Scholar
Schönbrodt, F. D., & Perugini, M. (2013). At what sample size do correlations stabilize? Journal of Research in Personality, 47, 609612.Google Scholar
Shah, P., & Miyake, A. (1996). The separability of working memory resources for spatial thinking and language processing: An individual differences approachJournal of Experimental Psychology: General125, 427.Google Scholar
Shipstead, Z., Harrison, T. L., & Engle, R. W. (2016). Working memory capacity and fluid intelligence: Maintenance and disengagementPerspectives on Psychological Science11, 771799.Google Scholar
Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18, 643662.Google Scholar
Swanson, H. L., & Ashbaker, M. H. (2000). Working memory, short-term memory, speech rate, word recognition and reading comprehension in learning disabled readers: Does the executive system have a role? Intelligence28, 130.Google Scholar
Thurstone, L. L. (1938). Primary mental abilitiesPsychometric Monographs, 1, 270275.Google Scholar
Turner, M. L., & Engle, R. W. (1989). Is working memory capacity task dependent? Journal of Memory and Language28, 127154.Google Scholar
Unsworth, N., Heitz, R. P., Schrock, J. C., & Engle, R. W. (2005). An automated version of the operation span taskBehavior Research Methods37, 498505.Google Scholar
Unsworth, N., Redick, T. S., Heitz, R. P., Broadway, J. M., & Engle, R. W. (2009). Complex working memory span tasks and higher-order cognition: A latent-variable analysis of the relationship between processing and storageMemory17, 635654.Google Scholar
Waters, G., Caplan, D. & Hildebrandt, N. (1987). Working memory and written sentence comprehension. In Coltheart, M. (Ed.), Attention and performance XII: The psychology of reading (pp. 531555). Erlbaum.Google Scholar

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