Baddeley, A. D. (1982) Your memory: A user’s guide. McGraw Hill.Google Scholar

Bier, D. M. (1999). Institute of Medicine (US) Committee on Military Nutrition Research. The Role of Protein and Amino Acids in Sustaining and Enhancing Performance. Washington, D): National Academies Press (US). The Energy Costs of Protein Metabolism: Lean and Mean on Uncle Sam’s Team. www.ncbi.nlm.nih.gov/books/NBK224633/Google Scholar

Blanchard, R. J., & Blanchard, D. C. (1972). Effects of hippocampal lesions on the rat’s reaction to a cat. Journal of Comparative and Physiological Psychology, 78, 77–82. https://doi.org/10.1037/h0032176Google Scholar

Blanchard, R. J., Fukunaga, K. K., & Blanchard, D. C. (1976). Environmental control of defensive reactions to a cat. Bulletin of the Psychonomic Society, 8, 179–181. https://doi.org/10.3758/BF03335118CrossRefGoogle Scholar

Blanchard, R. J., Mast, M., & Blanchard, D. C. (1975). Stimulus control of defensive reactions in the albino rat. Journal of Comparative and Physiological Psychology, 88, 81–88. https://doi.org/10.1037/h0076213CrossRefGoogle ScholarPubMed

Bolles, R. C. (1993). The Story of psychology: A thematic history. Brooks/Cole Publishing.Google Scholar

Bronstein, P. M., & Hirsch, S. M. (1976). Ontogeny of defensive reactions in Norway rats. Journal of Comparative and Physiological Psychology, 90, 620–629. http://dx.doi.org/10.1037/h0077224CrossRefGoogle ScholarPubMed

Choi, J.-S., & Kim, J. J. (2010). Amygdala regulates risk of predation in rats foraging in a dynamic fear environment. Proceedings of the National Academy of Sciences, 107, 21773–21777. https://doi.org/10.1073/pnas.1010079108CrossRefGoogle Scholar

Dezfouli, A., & Balleine, B. W. (2012). Habits, action sequences and reinforcement learning. European Journal of Neuroscience, 35, 1036–1051. https://doi.org/10.1111/j.1460-9568.2012.08050.xCrossRefGoogle ScholarPubMed

Domjan, M. (2005). Pavlovian conditioning: A functional perspective. Annual Review of Psychology, 56, 179–206. https://doi.org/10.1146/annurev.psych.55.090902.141409CrossRefGoogle ScholarPubMed

Eldridge, L. L., Knowlton, B. J., Furmanski, C. S., Bookheimer, S. Y., & Engel, S. A. (2000). Remembering episodes: A selective role for the hippocampus during retrieval. Nature Neuroscience, 3, 1149–1152. https://doi.org/10.1038/80671CrossRefGoogle ScholarPubMed

Fanselow, M. S. (1980). Conditional and unconditional components of post-shock freezing in rats. Pavlovian Journal of Biological Sciences, 15, 177–182. https://doi.org/10.1007/BF03001163Google Scholar

Fanselow, M. S. (1986). Associative vs. topographical accounts of the immediate shock freezing deficit in rats: Implications for the response selection rules governing species specific defensive reactions. Learning & Motivation, 17, 16–39. https://doi.org/10.1016/0023-9690(86)90018-4Google Scholar

Fanselow, M. S. (1990). Factors governing one trial contextual conditioning. Animal Learning & Behavior, 18, 264–270. https://doi.org/10.3758/BF03205285CrossRefGoogle Scholar

Fanselow, M. S. (2000). Contextual fear, gestalt memories, and the hippocampus. Behavioural Brain Research, 110, 73–81. https://doi.org/10.1016/s0166-4328(99)00186-2CrossRefGoogle ScholarPubMed

Fanselow, M. S. (2018). The role of learning in threat imminence and defensive behaviors. Current Opinion in Behavioral Sciences, 24, 44–49. https://doi.org/10.1016/j.cobeha.2018.03.003CrossRefGoogle ScholarPubMed

Fanselow, M. S., Landeira-Fernandez, J., DeCola, J. P., & Kim, J. J. (1994). The immediate shock deficit and postshock analgesia: Implications for the relationship between the analgesic CR and UR. Animal Learning & Behavior, 22, 72–76. https://doi.org/10.3758/BF03199957CrossRefGoogle Scholar

Gale, G. D., Anagnostaras, S. G., Godsil, B. P., Mitchell, S., Nozawa, T., Sage, J. R., Wiltgen, B., & Fanselow, M. S. (2004). Role of the basolateral amygdala in the storage of fear memories across the adult lifetime of rats. Journal of Neuroscience, 24, 3810–3815. https://doi.org/10.1523/JNEUROSCI.4100-03.2004Google Scholar

Garcia, J., & Koelling, R. A. (1966). Relation of cue to consequence in avoidance learning. Psychonomic Science, 4, 123–124. https://doi.org/10.3758/BF03342209Google Scholar

Gould, S. J., & Vrba, E. S. (1982). Exaptation – A missing term in the science of form. Paleobiology,8, 4–15. https://doi.org/10.1017/S0094837300004310CrossRefGoogle Scholar

Herculano-Houzel, S. (2011). Scaling of brain metabolism with a fixed energy budget per neuron: Implications for neuronal activity, plasticity and evolution. PLoS ONE, 6, e17514. https://doi.org/10.1371/journal.pone.0017514CrossRefGoogle ScholarPubMed

Ingvar, D. H. (1985). Memory of the future: An essay on the temporal organization of conscious awareness. Human Neurobiology, 4, 127–136.Google ScholarPubMed

Kiernan, M. J., Westbrook, R. F., & Cranney, J. (1995). Immediate shock, passive avoidance, and potentiated startle: Implications for the unconditioned response to shock. Animal Learning & Behavior, 23, 22–30. https://doi.org/10.3758/BF03198012CrossRefGoogle Scholar

Kim, J. J., Choi, J.-S., & Lee, H. J. (2016). Foraging in the face of fear: Novel strategies for evaluating amygdala functions in rats. In Amaral, D. G. & Adolphs, R. (Eds.), Living without an amygdala (pp. 129–148). The Guilford Press.Google Scholar

Kim, J. J., & Fanselow, M. S. (1992). Modality-specific retrograde amnesia of fear following hippocampal lesions. Science, 256, 675–677. https://doi.org/10.1126/science.1585183Google Scholar

Krasne, F. B., Cushman, J. D., & Fanselow, M. S. (2015). A Bayesian context fear learning algorithm/automaton. Frontiers in Behavioral Neuroscience, 9, 1–22. https://doi.org/10.3389/fnbeh.2015.00112Google Scholar

Krasne, F. B., Zinn, R., Vissel, B., & Fanselow, M. S. (2021). Extinction and discrimination in a Bayesian model of context fear conditioning (BaconX). Hippocampus, 31, 790–814. https://doi.org/10.1002/hipo.23298CrossRefGoogle Scholar

Landeira-Fernandez, J., Decola, J. P., Kim, J. J., & Fanselow, M. S. (2006). Immediate shock deficit in fear conditioning: Effects of shock manipulations. Behavioral Neuroscience, 120, 873–879. https://doi.org/10.1037/0735-7044.120.4.873CrossRefGoogle ScholarPubMed

Mery, F., & Kawecki, T. J. (2005). A cost of long-term memory in Drosophila. Science, 308, 1148. https://doi.org/10.1126/science.1111331Google Scholar

Plaçais, P.-Y., & Preat, T. (2013). To favor survival under food shortage, the brain disables costly memory. Science, 339, 440–442. https://doi.org/10.1126/science.1226018CrossRefGoogle ScholarPubMed

Plaçais, P.-Y., de Tredern, É., Scheunemann, L., Trannoy, S., Goguel, V., Han, K.-A., Isabel, G., & Prea, T. (2017). Upregulated energy metabolism in the Drosophila mushroom body is the trigger for long-term memory. Nature Communications, 8, 11510. https://doi.org/10.1038/ncomms15510Google Scholar

Rescorla, R. A. (1988). Pavlovian conditioning: It’s not what you think it is. American Psychologist, 43, 151–160. https://doi.org/10.1037/0003-066X.43.3.151Google Scholar

Rudy, J. W., & Teyler, T .J. (2010). Episodic memory and the hippocampus. In Weiner, I. B. & Craighead, W. E. (Eds.), Corsini encyclopedia of psychology. John Wiley & Sons. https://doi.org/10.1002/9780470479216.corpsy0316Google Scholar

Schacter, D. L., Addis, D. R., Hassabis, D., Martin, V. C., Spreng, R. N., & Szpunar, K. K. (2012). The future of memory: Remembering, imagining, and the brain. Neuron, 76, 677–694. https://doi.org/10.1016/j.neuron.2012.11.001Google Scholar

Sherry, D. F., & Schacter, D. L. (1987). The evolution of multiple memory systems. Psychological Review, 94, 439–454. https://dx.doi.org/10.1037/0033-295X.94.4.439Google Scholar

Squire, L. R. (2004). Memory systems of the brain: A brief history and current perspective. Neurobiology of Learning and Memory, 82, 171–177. https://doi.org/10.1016/j.nlm.2004.06.005Google Scholar

Squire, L. R., & Zola, S. M. (1996). Structure and function of declarative and nondeclarative memory systems. Proceedings of the National Academy of Sciences, 93, 13515–13522. https://doi.org/10.1073/pnas.93.24.13515Google Scholar

Thompson, R. F., & Steinmetz, J. E. (2009). The role of the cerebellum in classical conditioning of discrete behavioral responses. Neuroscience, 162, 732–755. https://doi.org/10.1016/j.neuroscience.2009.01.041Google Scholar

Todes, D. P. (2014). Ivan Pavlov: A Russian life in science. Oxford University Press.Google Scholar

Tulving, E. (2002). Episodic memory: From mind to brain. Annual Review of Psychology, 53, 1–25. https://doi.org/10.1146/annurev.psych.53.100901.135114CrossRefGoogle Scholar

Voet, D., Voet, V. G., & Pratt, C. W. (2016). Fundamentals of biochemistry: Life at the molecular level. John Wiley & Sons.Google Scholar

Watson, J. B. (1913). Psychology as the behaviorist views it. Psychological Review, 20, 158–177. https://dx.doi.org/10.1037/h0074428Google Scholar

Williams, G. C. (1966). Adaptation and natural selection. Princeton University Press.Google Scholar

Yokoyama, O. T. (in press). Pavlov on the conditional reflex: Papers, 1903–1936. Oxford University Press.CrossRefGoogle Scholar

Zinn, R., Leake, J., Krasne, F. B., Corbit, L. H., Fanselow, M. F. & Vissel, B. (2020) Maladaptive properties of context-impoverished memories. Current Biology, 30, 1–12. https://doi.org/10.1016/j.cub.2020.04.040Google Scholar

Babb, S. J., & Crystal, J. D. (2005). Discrimination of what, when, and where: Implications for episodic-like memory in rats. Learning & Motivation, 36, 177–189. https://doi.org/https://doi.org/10.1016/j.lmot.2005.02.009Google Scholar

Babb, S. J., & Crystal, J. D. (2006a). Discrimination of what, when, and where is not based on time of day. Learning & Behavior, 34, 124–130. https://doi.org/10.3758/bf03193188CrossRefGoogle Scholar

Babb, S. J., & Crystal, J. D. (2006b). Episodic-like memory in the rat. Current Biology, 16, 1317–1321. https://doi.org/https://doi.org/10.1016/j.cub.2006.05.025Google Scholar

Buzsáki, G. (2015). Hippocampal sharp wave-ripple: A cognitive biomarker for episodic memory and planning. Hippocampus, 25, 1073–1188. https://doi.org/10.1002/hipo.22488Google Scholar

Carr, M. F., Jadhav, S. P., & Frank, L. M. (2011). Hippocampal replay in the awake state: A potential substrate for memory consolidation and retrieval. Nature Neuroscience, 14, 147–153. https://doi.org/https://doi.org/10.1038/nn.2732Google Scholar

Carr, M. F., Karlsson, M. P., & Frank, L. M. (2012). Transient slow gamma synchrony underlies hippocampal memory replay. Neuron, 75, 700–713. https://doi.org/https://doi.org/10.1016/j.neuron.2012.06.014Google Scholar

Cheng, S., Werning, M., & Suddendorf, T. (2016). Dissociating memory traces and scenario construction in mental time travel. Neuroscience and Biobehavioral Reviews, 60, 82–89. https://doi.org/https://doi.org/10.1016/j.neubiorev.2015.11.011Google Scholar

Clayton, N. S., & Dickinson, A. (1998). Episodic-like memory during cache recovery by scrub jays. Nature, 395, 272–274. https://doi.org/10.1038/26216Google Scholar

Corballis, M. C. (2013a). Mental time travel: A case for evolutionary continuity. Trends in Cognitive Sciences, 17, 5–6. http://linkinghub.elsevier.com/retrieve/pii/S1364661312002458Google Scholar

Corballis, M. C. (2013b). The wandering rat: Response to Suddendorf. Trends in Cognitive Sciences, 17, 152. https://doi.org/https://doi.org/10.1016/j.tics.2013.01.012Google Scholar

Crystal, J. D. (2013a). Prospective memory. Current Biology, 23, R750–R51. https://doi.org/https://doi.org/10.1016/j.cub.2013.07.081Google Scholar

Crystal, J. D. (2013b). Remembering the past and planning for the future in rats. Behavioural Processes, 93, 39–49. https://doi.org/http://dx.doi.org/10.1016/j.beproc.2012.11.014Google Scholar

Crystal, J. D. (2016a). Animal models of source memory. Journal of the Experimental Analysis of Behavior, 105, 56–67. https://doi.org/10.1002/jeab.173Google Scholar

Crystal, J. D. (2016b). Comparative cognition: Action imitation using episodic memory. Current Biology, 26, R1226–R1228. https://doi.org/10.1016/j.cub.2016.10.010Google Scholar

Crystal, J. D. (2018). Animal models of episodic memory. Comparative Cognition & Behavior Reviews, 13, 105–122. https://doi.org/10.3819/ccbr.2018.130012Google Scholar

Crystal, J. D. (2021). Event memory in rats. In Kaufman, A., Call, J., & Kaufman, J. (Eds.), Cambridge handbook of animal cognition (pp. 190–209). Cambridge University Press.Google Scholar

Crystal, J. D., & Alford, W. T. (2014). Validation of a rodent model of source memory. Biology Letters, 10, 20140064. https://doi.org/10.1098/rsbl.2014.0064Google Scholar

Crystal, J. D., Alford, W. T., Zhou, W., & Hohmann, A. G. (2013). Source memory in the rat. Current Biology, 23, 387–391. https://doi.org/http://dx.doi.org/10.1016/j.cub.2013.01.023Google Scholar

Crystal, J. D., & Smith, A. E. (2014). Binding of episodic memories in the rat. Current Biology, 24, 2957–2961. https://doi.org/10.1016/j.cub.2014.10.074Google Scholar

Crystal, J. D., & Suddendorf, T. (2019). Episodic memory in nonhuman animals? Current Biology, 29, R1291–R1295. https://doi.org/https://doi.org/10.1016/j.cub.2019.10.045Google Scholar

Dalecki, S. J., Panoz-Brown, D. E., & Crystal, J. D. (2017). A test of the reward-contrast hypothesis. Behavioural Processes, 145, 15–17. https://doi.org/https://doi.org/10.1016/j.beproc.2017.09.018CrossRefGoogle ScholarPubMed

Davidson, T. J., Kloosterman, F., & Wilson, M. A. (2009). Hippocampal replay of extended experience. Neuron, 63, 497–507. https://doi.org/https://doi.org/10.1016/j.neuron.2009.07.027CrossRefGoogle ScholarPubMed

Dede, A. J. O., Frascino, J. C., Wixted, J. T., & Squire, L. R. (2016). Learning and remembering real-world events after medial temporal lobe damage. Proceedings of the National Academy of Sciences, 113, 13480–13485. https://doi.org/10.1073/pnas.1617025113Google Scholar

Diba, K., & Buzsáki, G. (2007). Forward and reverse hippocampal place-cell sequences during ripples. Nature Neuroscience, 10, 1241. https://doi.org/10.1038/nn1961Google Scholar

Eacott, M. J., Easton, A., & Zinkivskay, A. (2005). Recollection in an episodic-like memory task in the rat. Learning and Memory, 12(3), 221–223. https://doi.org/http://www.learnmem.org/cgi/doi/10.1101/lm.92505CrossRefGoogle Scholar

Ego-Stengel, V., & Wilson, M. A. (2010). Disruption of ripple‐associated hippocampal activity during rest impairs spatial learning in the rat. Hippocampus, 20, 1–10. https://doi.org/10.1002/hipo.20707Google Scholar

Eichenbaum, H. (2000). A cortical-hippocampal system for declarative memory. Nature Reviews Neuroscience, 1, 41–50. https://doi.org/10.1038/35036213Google Scholar

Eichenbaum, H. (2007). Comparative cognition, hippocampal function, and recollection. Comparative Cognition & Behavior Reviews, 2, 47–66. https://doi.org/doi:10.3819/ccbr.2008.20003Google Scholar

Eichenbaum, H., Sauvage, M., Fortin, N., Komorowski, R., & Lipton, P. (2012). Towards a functional organization of episodic memory in the medial temporal lobe. Neuroscience and Biobehavioral Reviews, 36, 1597–1608. https://doi.org/https://doi.org/10.1016/j.neubiorev.2011.07.006Google Scholar

Eichenbaum, H., Yonelinas, A. P., & Ranganath, C. (2007). The medial temporal lobe and recognition memory. Annual Review of Neuroscience, 30, 123–152. https://doi.org/doi:10.1146/annurev.neuro.30.051606.094328CrossRefGoogle ScholarPubMed

Emery, N. J., & Clayton, N. S. (2004). The mentality of crows: Convergent evolution of intelligence in corvids and apes. Science, 306, 1903–1907. https://doi.org/10.1126/science.1098410CrossRefGoogle ScholarPubMed

Ergorul, C., & Eichenbaum, H. (2004). The hippocampus and memory for “what,” “where,” and “when.” Learning and Memory, 11(4), 397–405. https://doi.org/doi.org/10.1101/lm.73304Google Scholar

Fortin, N. J., Wright, S. P., & Eichenbaum, H. (2004). Recollection-like memory retrieval in rats is dependent on the hippocampus. Nature, 431, 188–191. https://doi.org/10.1038/nature02853Google Scholar

Jadhav, S. P., Kemere, C., German, P. W., & Frank, L. M. (2012). Awake hippocampal sharp-wave ripples support spatial memory. Science, 336, 1454–1458. https://doi.org/10.1126/science.1217230Google Scholar

Kurth-Nelson, Z., Economides, M., Dolan, R. J., & Dayan, P. (2016). Fast sequences of non-spatial state representations in humans. Neuron, 91(1), 194–204. https://doi.org/https://doi.org/10.1016/j.neuron.2016.05.028Google Scholar

Lancet, D. (1986). Vertebrate olfactory reception. Annual Review of Neuroscience, 9, 329–355. https://doi.org/10.1146/annurev.ne.09.030186.001553Google Scholar

Mori, K., Nagao, H., & Yoshihara, Y. (1999). The olfactory bulb: Coding and processing of odor molecule information. Science, 286, 711–715. https://doi.org/10.1126/science.286.5440.711CrossRefGoogle ScholarPubMed

Moser, M.-B., Rowland, D. C., & Moser, E. I. (2015). Place cells, grid cells, and memory. Cold Spring Harbor Perspectives in Biology, 7(2), 1–15. https://doi.org/10.1101/cshperspect.a021808Google Scholar

Naqshbandi, M., Feeney, M. C., McKenzie, T. L. B., & Roberts, W. A. (2007). Testing for episodic-like memory in rats in the absence of time of day cues: Replication of Babb and Crystal. Behavioural Processes, 74, 217–225. https://doi.org/10.1016/j.beproc.2006.10.010CrossRefGoogle ScholarPubMed

Ólafsdóttir, H. F., Bush, D., & Barry, C. (2018). The role of hippocampal replay in memory and planning. Current Biology, 28, R37–R50. https://doi.org/10.1016/j.cub.2017.10.073CrossRefGoogle ScholarPubMed

Ólafsdóttir, H. F., Carpenter, F., & Barry, C. (2017). Task demands predict a dynamic switch in the content of awake hippocampal replay. Neuron, 96, 925–935.e926. https://doi.org/https://doi.org/10.1016/j.neuron.2017.09.035Google Scholar

Panoz-Brown, D., Iyer, V., Carey, L. M., Sluka, C. M., Rajic, G., Kestenman, J., Gentry, M., Brotheridge, S., Somekh, I., Corbin, H. E., Tucker, K. G., Almeida, B., Hex, S. B., Garcia, K. D., Hohmann, A. G., & Crystal, J. D. (2018). Replay of episodic memories in the rat. Current Biology, 28, 1628–1634.e1627. https://doi.org/https://doi.org/10.1016/j.cub.2018.04.006CrossRefGoogle ScholarPubMed

Panoz-Brown, D. E., Corbin, H. E., Dalecki, S. J., Gentry, M., Brotheridge, S., Sluka, C. M., Wu, J.-E., & Crystal, J. D. (2016). Rats remember items in context using episodic memory. Current Biology, 26, 2821–2826. https://doi.org/http://dx.doi.org/10.1016/j.cub.2016.08.023Google Scholar

Pavlides, C., & Winson, J. (1989). Influences of hippocampal place cell firing in the awake state on the activity of these cells during subsequent sleep episodes. The Journal of Neuroscience, 9, 2907–2918. https://doi.org/10.1523/jneurosci.09-08-02907.1989CrossRefGoogle ScholarPubMed

Paz, R., Gelbard-Sagiv, H., Mukamel, R., Harel, M., Malach, R., & Fried, I. (2010). A neural substrate in the human hippocampus for linking successive events. Proceedings of the National Academy of Sciences, 107, 6046–6051. https://doi.org/10.1073/pnas.0910834107CrossRefGoogle ScholarPubMed

Pfeiffer, B. E., & Foster, D. J. (2013). Hippocampal place-cell sequences depict future paths to remembered goals. Nature, 497, 74–79. https://doi.org/https://doi.org/10.1038/nature12112Google Scholar

Powell, R., Mikhalevich, I., Logan, C., & Clayton, N. S. (2017). Convergent minds: The evolution of cognitive complexity in nature. Interface Focus, 7(3), 1–5. https://doi.org/10.1098/rsfs.2017.0029Google Scholar

Premack, D., & Woodruff, G. (1978). Does the chimpanzee have a theory of mind? Behavioral and Brain Sciences, 1, 515–526. https://doi.org/https://doi.org/10.1017/S0140525X00076512CrossRefGoogle Scholar

Roberts, W. A., Feeney, M. C., MacPherson, K., Petter, M., McMillan, N., & Musolino, E. (2008). Episodic-like memory in rats: Is it based on when or how long ago? Science, 320, 113–115. https://doi.org/10.1126/science.1152709Google Scholar

Rubin, B. D., & Katz, L. C. (2001). Spatial coding of enantiomers in the rat olfactory bulb. Nature Neuroscience, 4, 355. https://doi.org/10.1038/85997CrossRefGoogle ScholarPubMed

Skaggs, W. E., & McNaughton, B. L. (1996). Replay of neuronal firing sequences in rat hippocampus during sleep following spatial experience. Science, 271, 1870–1873. https://doi.org/10.1126/science.271.5257.1870Google Scholar

Smith, A. E., Dalecki, S. J., & Crystal, J. D. (2017). A test of the reward-value hypothesis. Animal Cognition, 20, 215–220. https://doi.org/10.1007/s10071-016-1040-zCrossRefGoogle ScholarPubMed

Smith, A. E., Slivicki, R. A., Hohmann, A. G., & Crystal, J. D. (2017). The chemotherapeutic agent paclitaxel selectively impairs learning while sparing source memory and spatial memory. Behavioural Brain Research, 320, 48–57. https://doi.org/http://dx.doi.org/10.1016/j.bbr.2016.11.042Google Scholar

Staresina, B. P., Alink, A., Kriegeskorte, N., & Henson, R. N. (2013). Awake reactivation predicts memory in humans. Proceedings of the National Academy of Sciences, 110, 21159–21164. https://doi.org/10.1073/pnas.1311989110Google Scholar

Tulving, E. (1972). Episodic and semantic memory. In Tulving, E. & Donaldson, W. (Eds.), Organization of Memory (pp. 381–403). Academic Press.Google Scholar

Tulving, E. (1983). Elements of Episodic Memory. Oxford University Press.Google Scholar

Tulving, E. (2002). Episodic memory: From mind to brain. Annual Review of Psychology, 53, 1–25. https://doi.org/10.1146/annurev.psych.53.100901.135114Google Scholar

Tulving, E., & Markowitsch, H. J. (1998). Episodic and declarative memory: Role of the hippocampus. Hippocampus, 8(3), 198–204. https://doi.org/10.1002/(SICI)1098-1063(1998)8:3%3C198::AID-HIPO2%3E3.0.CO;2-GGoogle Scholar

Uchida, N., & Mainen, Z. F. (2003). Speed and accuracy of olfactory discrimination in the rat. Nature Neuroscience, 6, 1224. https://dx.doi.org/10.1038/nn1142Google Scholar

Wilson, A. G., & Crystal, J. D. (2012). Prospective memory in the rat. Animal Cognition, 15, 349–358. https://doi.org/10.1007/s10071-011-0459-5Google Scholar

Wilson, A. G., Pizzo, M. J., & Crystal, J. D. (2013). Event-based prospective memory in the rat. Current Biology, 23, 1089–1093. https://doi.org/http://dx.doi.org/10.1016/j.cub.2013.04.067Google Scholar

Wright, A. A. (2018). Episodic memory: Manipulation and replay of episodic memories by rats. Current Biology, 28, R667–R669. https://doi.org/https://doi.org/10.1016/j.cub.2018.04.060CrossRefGoogle ScholarPubMed

Yonelinas, A. P. (2001). Components of episodic memory: The contribution of recollection and familiarity. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 356, 1363–1374. https://doi.org/10.1098/rstb.2001.0939Google Scholar

Yonelinas, A. P., & Levy, B. J. (2002). Dissociating familiarity from recollection in human recognition memory: Different rates of forgetting over short retention intervals. Psychonomic Bulletin & Review, 9, 575–582. https://doi.org/10.3758/BF03196315Google Scholar

Zhou, W., & Crystal, J. D. (2009). Evidence for remembering when events occurred in a rodent model of episodic memory. Proceedings of the National Academy of Sciences of the United States of America, 106, 9525–9529. https://doi.org/10.1073/pnas.0904360106Google Scholar

Zhou, W., & Crystal, J. D. (2011). Validation of a rodent model of episodic memory. Animal Cognition, 14(3), 325–340. https://doi.org/10.1007/s10071-010-0367-0CrossRefGoogle ScholarPubMed

Zhou, W., Hohmann, A. G., & Crystal, J. D. (2012). Rats answer an unexpected question after incidental encoding. Current Biology, 22, 1149–1153. https://doi.org/10.1016/j.cub.2012.04.040Google Scholar

Abbott, N. J., Williamson, R., & Maddock, L. (1995). Cephalopod neurobiology. Oxford University Press.Google Scholar

Agin, V., Chichery, R., Chichery, M. P., Dickel, L., Darmaillacq, A. S., & Bellanger, C. (2006a). Behavioural plasticity and neural correlates in adult cuttlefish. Vie Milieu, 56, 81–87.Google Scholar

Agin, V., Chichery, R., Dickel, L., & Chichery, M. P. (2006b). The “prawn-in-the-tube” procedure in the cuttlefish: Habitation or passive avoidance learning? Learning and Memory, 13, 97–101. https://doi.org/10.1101/lm.90106Google Scholar

Amici, F., Aureli, F., & Call, J. (2008). Fission-fusion dynamics, behavioral flexibility, and inhibitory control in primates. Current Biology, 18, 1415–1419. https://doi.org/10.1016/j.cub.2008.08.020CrossRefGoogle ScholarPubMed

Amodio, P., Boeckle, M., Schnell, A. K., Ostojić, L., Fiorito, G., & Clayton, N. S. (2018). Grow smart and die young: Why did cephalopods evolve intelligence? Trends in Ecology and Evolution, 34, 45–56. https://doi.org/10.1016/j.tree.2018.10.010Google Scholar

Ashton, B. J., Ridley, A. R., Edwards, E. K., & Thornton, A. (2018). Cognitive performance is linked to group size and affects fitness in Australian magpies. Nature, 554, 364–367. https://doi.org/10.1038/nature25503Google Scholar

Biederman, G. B., & Davey, V. A. (1993). Social learning in invertebrates. Science, 259, 2413–2419. https://doi.org/10.1126/science.259.5101.1627CrossRefGoogle ScholarPubMed

Billard, P., Clayton, N. S., & Jozet-Alves, C. (2020a). Cuttlefish retrieve whether they smelt or saw a previously encountered item. Scientific Reports, 10, 5413. https://doi.org/10.1038/s41598-020-62335-xGoogle Scholar

Billard, P., Schnell, A. K., Clayton, N. S., & Jozet-Alves, C. (2020b). Cuttlefish show flexible and future-dependent foraging cognition. Biology Letters, 16, 20190743. https://doi.org/10.1098/rsbl.2019.0743CrossRefGoogle ScholarPubMed

Boal, J. G. (1991). Complex learning in Octopus bimaculoides. American Malacological Bulletin, 9, 75–80.Google Scholar

Boal, J. G. (1996). A review of simultaneous visual discrimination as a method of training octopuses. Biological Reviews, 71, 157–190. https://doi.org/10.1111/j.1469-185x.1996.tb00746.xGoogle Scholar

Boal, J. G. (2006). Social recognition: A top down view of cephalopod behavior. Vie Millieu, 56, 69–79.Google Scholar

Boal, J. G., Wittenberg, K. M., & Hanlon, R. T. (2000). Observational learning does not explain improvement in predation tactics by cuttlefish (Mollusca: Cephalopoda). Behavioural Processes, 52, 141–153. https://doi.org/10.1016/S0376-6357(00)00137-6Google Scholar

Bobrowicz, K., Johansson, M., & Osvath, M. (2020). Great apes selectively retrieve relevant memories to guide action. Scientific Reports, 10, 12603. https://doi.org/10.1038/s41598-020-69607-6Google Scholar

Boeckle, M., Schiestl, M., Frohnwieser, A., Gruber, R., Miller, R., Suddendorf, T., Gray, R. D.,Taylor, A. H., & Clayton, N. S. (2020). New Caledonian crows plan for specific future tool use. Proceedings of the Royal Society B, 287, 20201490. https://doi.org/10.1098/rspb.2020.1490Google Scholar

Bond, A. B., Kamil, A. C., & Balda, R. P. (2003). Social complexity and transitive inference in corvids. Animal Behaviour, 65, 479–487. https://doi.org/10.1006/anbe.2003.2101Google Scholar

Brewer, S. M., & McGrew, W. C. (1990). Chimpanzee use of a tool-set to get honey. Folia Primatology, 54, 100–104. https://doi.org/10.1159/000156429Google Scholar

Brown, C., Garwood, M. P., & Williamson, J. E. (2012). It pays to cheat: Tactical deception in a cephalopod social signalling system. Biology Letters, 8, 729–732. https://doi.org/10.1098/rsbl.2012.0435Google Scholar

Budelmann, B. U. (1995). The cephalopod nervous system: What evolution has made of the molluscan design. In Breidbach, O., & Kutsch, W. (Eds.), The nervous systems of invertebrates: An evolutionary and comparative approach (pp. 115–138). Birkhauser Verlag.Google Scholar

Byrne, R. W. (2004). The manual skills and cognition that lie behind hominid tool use. In Russon, A. E., & Begun, D. R. (Eds.), The evolution of thought: Evolutionary origins of great ape intelligence (pp. 31–44). Cambridge University Press.Google Scholar

Byrne, R. W., & Bates, L. A. (2007). Sociality, evolution and cognition. Current Biology, 17, R714–R723. https://doi.org/10.1016/j.cub.2007.05.069.Google Scholar

Byrne, R. W., & Whiten, A. (1988). Machiavellian intelligence: Social expertise and the evolution of intellect in monkeys, apes and humans. Oxford University Press.Google Scholar

Call, J., & Tomasello, M. (2008). Does the chimpanzee have a theory of mind? 30 years later. Trends in Cognitive Sciences, 12, 187–192. https://doi.org/10.1016/j.tics.2008.02.010Google Scholar

Cheke, L. C., & Clayton, N. S. (2012). Eurasian jays (Garrulus glandarius) overcome their current desires to anticipate two distinct future needs and plan for them appropriately. Biology Letters, 8, 71–175. https://doi.org/10.1098/rsbl.2011.0909Google Scholar

Cheng, M. A., & Caldwell, R. (2000). Sex identification and mating in the blue-ringed octopus, Hapalochlaena lunulata. Animal Behaviour, 60, 27–33. https://doi.org/10.1006/anbe.2000.1447Google Scholar

Chettleburgh, M. (1952). Observations on the collection and burial of acorns by jays in Hainault Forest. British Birds, 45, 359–364.Google Scholar

Clayton, N. S., Bussey, T. J., & Dickinson, A. (2003). Can animals recall the past and plan for the future? Nature Reviews Neuroscience, 4, 685–691. https://doi.org/10.1038/nrn1180CrossRefGoogle ScholarPubMed

Clayton, N. S., Dally, J. M., & Emery, N. J. (2007). Social cognition by food-caching corvids. The western scrub-jay as a natural psychologist. Philosophical Transactions of the Royal Society B, 362, 507–522. https://doi.org/10.1098/rstb.2006.1992Google Scholar

Clayton, N. S., & Dickinson, A. (1998). Episodic-like memory during cache recovery by scrub jays. Nature, 395, 272–274. https://doi.org/10.1038/26216Google Scholar

Clayton, N. S., & Dickinson, A. (1999b). Memory for the content of caches by scrub jays. Journal of Experimental Psychology: Animal Behavior Processes, 25, 82–91. http://dx.doi.org/10.1037//0097-7403.25.1.82Google Scholar

Clayton, N. S., & Dickinson, A. (1999a). Scrub jays (Aphelocoma coerulescens) remember the relative time of caching as well as the location and content of their caches. Journal of Comparative Psychology, 113, 403–416. https://doi.org/10.1037/0735-7036.113.4.403Google Scholar

Clayton, N. S., & Emery, N. J. (2015). Avian models of human cognitive neuroscience: A proposal. Neuron, 86, 1330–1342. https://doi.org/10.1016/j.neuron.2015.04.024Google Scholar

Clayton, N. S., Yu, K. S., Dickinson, A. (2001). Scrub jays (Aphelocoma coerulescens) form integrated memories of the multiple features of caching episodes. Journal of Experimental Psychology Animal Behavior Processes, 27, 17–29.Google Scholar

Clutton-Brock, T. H., & Harvey, P. H. (1980). Primates, brain and ecology. Journal of Zoology, 190, 309–323. https://doi.org/10.1111/j.1469-7998.1980.tb01430.xCrossRefGoogle Scholar

Cole, P. D., & Adamo, S. A. (2005). Cuttlefish (Sepia officinalis: Cephalopoda) hunting behavior and associative learning. Animal Cognition, 8, 27–30. https://doi.org/10.1007/s10071-004-0228-9CrossRefGoogle ScholarPubMed

Corballis, M. C. (2013). Mental time travel: A case for evolutionary continuity. Trends in Cognitive Sciences, 17, 5–6. https://doi.org/10.1016/j.tics.2012.10.009Google Scholar

Correia, S. P. C., Dickinson, A., & Clayton, N. S. (2007). Western scrub-jays anticipate future needs independently of their current motivational state. Current Biology, 17, 856–861. https://doi.org/10.1016/j.cub.2007.03.063Google Scholar

Cristol, D. A., Reynolds, E. B., Leclerc, J. E., Donner, A. H., Farabaugh, C. S., & Ziegenfus, C. W. S. (2003). Migratory dark-eyed juncos, Junco hyemalis, have better spatial memory and denser hippocampal neurons than nonmigratory conspecifics. Animal Behaviour, 66, 317–328. https://doi.org/10.1006/anbe.2003.2194Google Scholar

Dally, J. M., Emery, N. J., & Clayton, N. S. (2006). Food-caching western scrub-jays keep track of who was watching when. Science, 312, 1662–1665. https://doi.org/10.1126/science.1126539Google Scholar

Darmaillacq, A. S., Dickel, L., & Mather, J. A. (2014). Cephalopod cognition. Cambridge University Press.Google Scholar

DeMartini, D. G., Ghoshal, A., Pandolfi, E., Weaver, A. T., Baum, M., & Morse, D. E. (2013). Dynamic biophotonics: Female squid exhibit sexually dimorphic tunable leucophores and iridocytes. Journal of Experimental Biology, 216, 3733–3741. https://doi.org/10.1242/jeb.090415Google Scholar

Dunbar, R. I. M. (1998). The social brain hypothesis. Evolutionary Anthropology, 9, 178–190. https://doi.org/10.1002/(SICI)1520-6505(1998)6:5<178::AID-EVAN5>3.0.CO;2-8Google Scholar

Emery, N. J. (2006). Cognitive ornithology: The evolution of avian intelligence. Philosophical Transactions of the Royal Society B, 361, 23–43. https://doi.org/10.1098/rstb.2005.1736Google Scholar

Emery, N. J., & Clayton, N. S. (2001). Effects of experience and social context on prospective caching strategies by scrub jays. Nature, 414, 443–-446. https://doi.org/10.1038/35106560Google Scholar

Emery, N. J., & Clayton, N. S. (2004). The mentality of crows: Convergent evolution of intelligence in corvids and apes. Science, 306, 1903–1907. https://doi.org/10.1126/science.1098410Google Scholar

Emery, N. J., & Clayton, N. S. (2005). Evolution of avian brain and intelligence. Current Biology, 15, R946–R950. https://doi.org/10.1016/j.cub.2005.11.029Google Scholar

Emery, N. J., Seed, A. M., von Bayern, A. M. P., & Clayton, N. S. (2007). Cognitive adaptations of social bonding in birds. Philosophical Transactions of the Royal Society B, 362, 489–505. https://doi.org/10.1098/rstb.2006.1991Google Scholar

Finn, J. K., Tregenza, T., & Norman, M.D. (2009). Defensive tool use in a coconut-carrying octopus. Current Biology, 19, R1069–R1070. https://doi.org/10.1016/j.cub.2009.10.052Google Scholar

Fiorito, G., & Gherardi, F. (1999). Prey-handling behaviour of Octopus vulgaris (Mollusca, Cephalopoda) on bivalve preys. Behavioural Processes, 46, 75–88. https://doi.org/10.1016/S0376-6357(99)00020-0Google Scholar

Fiorito, G., & Scotto, P. (1992). Observational learning in Octopus vulgaris. Science, 256, 545–547. https://doi.org/10.1126/science.256.5056.545Google Scholar

Goodall, J. (1964). Tool-using and aimed throwing in a community of free-living chimpanzees. Nature, 201, 1264–1266. https://doi.org/10.1038/2011264a0Google Scholar

Grodzinski, U., & Clayton, N. S. (2010). Problems faced by food-caching corvids and the evolution of cognitive solutions. Philosophical Transactions of the Royal Society B, 365, 977–987. https://doi.org/10.1098/rstb.2009.0210Google Scholar

Gruber, R., Schiestl, M., Boeckle, M., Frohnwieser, A., Miller, R., Gray, R. D., Clayton, N. S., & Taylor, A. H. (2019). New Caledonian crows use mental representations to solve metatool problems. Current Biology, 29, 686–692. https://doi.org/10.1016/j.cub.2019.01.008Google Scholar

Güntürkün, O., & Bugnyar, T. (2016). Cognition without cortex. Trends in Cognitive Sciences, 20, 291–303. https://doi.org/10.1016/j.tics.2016.02.001Google Scholar

Hall, K. C., & Hanlon, R. T. (2002). Principal features of the mating system of a large spawning aggregation of the giant Australian cuttlefish Sepia apama (Mollusca: Cephalopoda). Marine Biology, 140, 533–545. https://doi.org/10.1007/s00227-001-0718-0Google Scholar

Hanlon, R. T., Conroy, L. A., & Forsythe, J. W. (2008). Mimicry and foraging behaviour of two tropical sand-flat octopus species off North Sulawesi, Indonesia. Biological Journal of Linnean Society, 93, 23–38. https://doi.org/10.1111/j.1095-8312.2007.00948.xGoogle Scholar

Hanlon, R. T., & Messenger, J. B. (2018). Cephalopod behaviour, 2nd ed. Cambridge University Press. https://doi.org/10.1017/9780511843600Google Scholar

Hanlon, R. T., Naud, M. J., Shaw, P. W., & Havenhand, J. N. (2005). Transient sexual mimicry leads to fertilization. Nature, 433, 212. https://doi.org/10.1038/433212aGoogle Scholar

Hanlon, R. T., Watson, A. C., & Barbosa, A. (2010). A “mimic octopus,” in the Atlantic: Flatfish mimicry and camouflage by Macrotritopus defilippi. Biological Bulletin, 218, 15–24. https://doi.org/10.1086/BBLv218n1p15Google Scholar

Hanus, D., & Call, J. (2008). Chimpanzees infer the location of a reward on the basis of the effect of its weight. Current Biology, 18, R370–R372. https://doi.org/10.1016/j.cub.2008.02.039Google Scholar

Hare, B., Call, J., Agnetta, B., & Tomasello, M. (2000). Chimpanzees know what conspecifics do and do not see. Animal Behaviour, 59, 771–785.Google Scholar

Hare, B., Call, J., & Tomasello, M. (2001). Do chimpanzees know what conspecifics know? Animal Behaviour, 61, 139–151.Google Scholar

Heyes, C. (2012). What’s social about social learning? Journal of Comparative Psychology, 126, 193–202. https://doi.org/10.1037/a0025180Google Scholar

Heyes, C. (2014). Submentalizing: I am not really reading your mind. Perspectives on Psychological Sciences, 9, 131–143. https://doi.org/10.1177/1745691613518076Google Scholar

Heyes, C. (2015). Animal mindreading: What’s the problem? Psychonomic Bulletin Review, 22, 313–327. https://doi.org/10.3758/s13423-014-0704-4Google Scholar

Hopper, L. M., van de Waal, E., & Caldwell, C. A. (2018). Celebrating the continued importance of “Machiavellian Intelligence” 30 years on. Journal of Comparative Psychology, 132, 427–431. https://doi.org/10.1037/com0000157Google Scholar

Huang, K. L., & Chiao, C. C. (2013). Can cuttlefish learn by observing others? Animal Cognition, 16, 313–320. https://doi.org/10.1007/s10071-012-0573-zGoogle Scholar

Huffard, C. L. (2006). Locomotion by Abdopus aculeatus (Cephalopod: Octopodidae): Walking the line between primary and secondary defenses. Journal of Experimental Biology, 209, 3697–3707. https://doi.org/10.1242/jeb.02435CrossRefGoogle ScholarPubMed

Humphrey, N. K. (1976). The social function of intellect. In Bateson, P. P. G. & Hinde, R. A. (Eds.), Growing points in ethology (pp. 303–317). Cambridge University Press.Google Scholar

Hunt, G. R. (2000). Tool use by the New Caledonian crow Corvus moneduloides to obtain cerambycidae from dead wood. Emu, 100, 109–114. https://doi.org/10.1071/MU9852Google Scholar

Hunt, G. R., & Gray, R. D. (2002). Species-wide manufacture of stick-type tools by New Caledonian crows. Emu, 102, 349–353. https://doi.org/10.1071/MU01056Google Scholar

Hunt, G. R., & Gray, R. D. (2004a). Direct observations of pandanus-tool manufacture and use by a New Caledonian crow (Corvus moneduloides). Animal Cognition, 7, 114–120. https://doi.org/10.1007/s10071-003-0200-0Google Scholar

Hunt, G. R., & Gray, R. D. (2004b). The crafting of hook tools by wild New Caledonian crows. Biology Letters, 271, 88–90. https://doi.org/10.1098/rsbl.2003.0085Google Scholar

Jaakola, K., Guarino, E., Donegan, K., & King, S. L. (2018). Bottlenose dolphins can understand their partner’s role in a cooperative task. Proceedings of the Royal Society B, 285, 20180948. https://doi.org/10.1098/rspb.2018.0948Google Scholar

Jozet-Alves, C., Bertin, M., & Clayton, N. S. (2013). Evidence of episodic-like memory in cuttlefish. Current Biology, 23, R1033–R1035. https://doi.org/10.1016/j.cub.2013.10.021Google Scholar

Kabadayi, C., & Osvath, M. (2017). Ravens parallel great apes in flexible planning for tool-use and bartering. Science, 375, 202–204. https://doi.org/10.1126/science.aam8138Google Scholar

Kirkpatrick, C. (2011). Tactical deception and the great apes: Insight into the question of Theory of Mind. Totem: The University of Western Ontario Journal of Anthropology, 1, 31–37.Google Scholar

de Kort, S. R., & Clayton, N. S. (2006). An evolutional perspective on caching by corvids. Proceedings of the Royal Society B, 273, 417–423. https://doi.org/10.1098/rspb.2005.3350Google Scholar

Kotrschal, A., Deacon, A. E., Magurran, A. E., & Kolm, N. (2017). Predation pressure shapes brain anatomy in the wild. Evolutionary Ecology, 31, 619–633. https://doi.org/10.1007/s10682-017-9901-8Google Scholar

Krebs, J. R., & Dawkins, R. (1984). Animal signals: Mind-reading and manipulation. In Krebs, J. & Davies, N. (Eds.), Behavioural ecology: An evolutionary approach (pp. 380–402). Blackwell Scientific Publications.Google Scholar

Krupenye, C., & Call, J. (2019). Theory of Mind in animals: Current and future directions. WIREs Cognitive Sciences, e1503. https://doi.org/10.1002/wcs.1503Google Scholar

Krupenye, C., Kano, F., Hirata, S., Call, J., & Tomasello, M. (2016). Great apes anticipate that other individuals will act according to false beliefs. Science, 354, 110–114. https://doi.org/10.1126/science.aaf8110Google Scholar

Lefebvre, L., & Bouchard, J. (2003), Social learning about food in birds. In Fragaszy, D. M. & Perry, S. (Eds.), The biology of traditions: Models and evidence (pp. 94–126). Cambridge University Press.Google Scholar

Lefebvre, L., & Giraldeau, L.-A. (1996 ). Is social learning an adaptive specialization? In Heyes, C. M. & Galef, B. G., Jr. (Eds.), Social learning in animals: The roots of culture (pp. 107–128). Academic Press.Google Scholar

Lefebvre, L., Nicolakakis, N., & Boire, D. (2002). Tools and brains in birds. Behaviour, 139, 939–973. https://doi.org/10.1163/156853902320387918Google Scholar

Lefebvre, L., Reader, S. M., & Sol, D. (2004). Brains, innovations and evolution in birds and primates. Brain, Behavior and Evolution, 63, 233–246. https://doi.org/10.1159/000076784Google Scholar

Mann, J., & Patterson, E. M. (2013). Tool use by aquatic animals. Proceedings of the Royal Society B, 368, 20120424. https://doi.org/10.1098/rstb.2012.0424Google Scholar

Marino, L. (2002). Convergence of complex cognitive abilities in cetaceans and primates. Brain, Behavior and Evolution, 59, 21–32. https://doi.org/10.1159/000063731Google Scholar

Martin-Ordas, G., Haun, D., Colmenares, F., & Call, J. (2010). Keeping track of time: Evidence for episodic-like memory in great apes. Animal Cognition, 13, 331–340. https://doi.org/10.1007/s10071-009-0282-4Google Scholar

Mather, J. A. (1991). Navigation by spatial memory and use of visual landmarks in octopuses. Journal of Comparative Physiology A, 168, 491–497. https://doi.org/10.1007/BF00199609Google Scholar

Mather, J. A. (1994). “Home” choice and modification by juvenile Octopus vulgaris (Mollusca: Cephalopoda): Specialized intelligence and tool use? Journal of Zoology, 233, 359–368. https://doi.org/10.1111/j.1469-7998.1994.tb05270.xGoogle Scholar

Mather, J. A. (1995). Cognition in cephalopods. Advances in the Study of Behavior, 24, 317–353.Google Scholar

Mather, J. A., & Dickel, L. (2017). Cephalopod complex cognition. Current Opinion in Behavioral Sciences, 16, 131–137. https://doi.org/10.1016/j.cobeha.2017.06.008Google Scholar

Matsuzawa, T. (1994). Field experiments on use of stone tools by chimpanzees in the wild. In Wrangham, R. W., McGrew, W. C., de Waal FBM, F. B. M., & Heltone, P. G. (Eds.), Chimpanzee cultures (pp. 351–370). Harvard University Press.Google Scholar

Matsuzawa, T., Humle, T., & Sugiyama, Y. (2011). The chimpanzees of Bossou and Nimba. Springer.Google Scholar

Midford, P. E., Hailman, J. P., & Woolfenden, G. E. (2000). Social learning of a novel foraging patch in families of free-living Florida scrub-jays. Animal Behaviour, 59, 1199–1207. https://doi.org/10.1006/anbe.1999.1419Google Scholar

Milton, K. (1981). Distribution patterns of tropical plant foods as an evolutionary stimulus to primate mental development. American Anthropologist, 83, 543–548. https://doi.org/10.1525/aa.1981.83.3.02a00020Google Scholar

Mock, D. W., & Fujioka, M. (1990). Monogamy and long-term pair bonding in vertebrates. Trends in Ecology and Evolution, 5, 39–43. https://doi.org/10.1016/0169-5347(90)90045-FGoogle Scholar

Morse, P., & Huffrard, C. L. (2019). Tactical tentacles: New insights on the proves of sexual selection among the Cephalopoda. Frontiers in Physiology, 10, 1035. https://doi.org/10.3389/fphys.2019.01035Google Scholar

Moynihan, M. H., & Rodaniche, A. F. (1982). The behavior and natural history of the Caribbean reef squid Sepioteuthis sepioidea with a consideration of social, signal, and defensive patterns for difficult and dangerous environments. Fortschritte der Verhaltensforschung, 25, 9–150 [Advanced Ethology, 125, 1–150].Google Scholar

Mulcahy, N. J., & Call, J. (2006). Apes save tools for future use. Science, 312, 1038–1040. https://doi.org/10.1126/science.1125456Google Scholar

Musgrave, S., Morgan, D., Lonsdorf, E., Mundry, R., & Sanz, C. (2016). Tool transfers are a form of teaching among chimpanzees. Scientific Reports, 6, 34783. https://doi.org/10.1038/srep34783Google Scholar

Nixon, M., & Young, J. Z. (2003). The brains and lives of cephalopods. Oxford University Press.Google Scholar

Norman, M. D., Finn, J., & Tregenza, T. (1999). Female impersonation as an alternative reproductive strategy in giant cuttlefish. Proceedings of the Royal Society B, 266, 1347–1349. https://doi.org/10.1098/rspb.1999.0786Google Scholar

Norman, M. D., Finn, J., & Tregenza, T. (2001). Dynamic mimicry in an indo-Malayan octopus. Proceedings of the Royal Society B, 268, 1755–1758. https://doi.org/10.1098/rspb.2001.1708Google Scholar

Okamoto, K., Yasumuro, H., Mori, A., & Ikeda, Y. (2017). Unique arm-flapping behavior of the pharaoh cuttlefish, Sepia pharaonis: Putative mimicry of a hermit crab. Journal of Ethology, 35, 307–311. https://doi.org/10.1007/s10164-017-0519-7Google Scholar

Olkowicz, S., Kocourek, M., Lučan, R. K., Porteš, M., Fitch, W. T., Herculano-Houzel, S., & Nêmec, P. (2016). Birds have primate-like numbers of neurons in the forebrain. Proceedings of the National Academy of the United States of America, 113, 7255–7260. https://doi.org/10.1073/pnas.1517131113Google Scholar

Osvath, M., Kabadayi, C., & Jacobs, I. (2014). Independent evolution of similar complex cognitive skills: The importance of embodied degrees of freedom. Animal Behaviour and Cognition, 1, 249–264. https://doi.org/10.12966/abc.08.03.2014Google Scholar

Osvath, M., & Osvath, H. (2008). Chimpanzee (Pan troglodytes) and orangutan (Pongo abelii) forethought: Self-control and pre-experience in the face of future tool use. Animal Cognition, 11, 661–674. https://doi.org/10.1007/s10071-008-0157-0Google Scholar

Packard, A. (1972). Cephalopods and fish: The limits of convergence. Biological Reviews, 47, 241–301. https://doi.org/10.1111/j.1469-185X.1972.tb00975.xGoogle Scholar

Panetta, D., Buresch, K., & Hanlon, R. T. (2017). Dynamic masquerade with morphing three-dimensional skin in cuttlefish. Biology Letters, 13, 20170070. https://doi.org/10.1098/rsbl.2017.0070Google Scholar

Parker, S. T., & Gibson, B. M. (1977). Object manipulation, tool use and sensorimotor intelligence as feeding adaptations in cebus monkeys and great apes. Journal of Human Evolution, 6, 623–641. https://doi.org/10.1016/S0047-2484(77)80135-8Google Scholar

Penn, D. C., & Povinelli, D. J. (2007). On the lack of evidence that non-human animals possess anything remotely resembling a “Theory of Mind”. Philosophical Transactions of the Royal Society B, 362, 731–744. https://doi.org/10.1098/rstb.2006.2023Google Scholar

Pepperberg, I. M., Koepke, A., Livingston, P., Girard, M., & Hartsfield, L. A. (2013). Reasoning by inference: Further studies on exclusion in grey parrots (Psittacus erithacus). Journal of Comparative Psychology, 127, 272–281. https://doi.org/10.1037/a0031641Google Scholar

Plotnik, J. M., Lair, R., Suphachoksahakun, W., & de Waal, F. B. M. (2011). Elephants know when they need a helping trunk in a cooperative task. Proceedings of the National Academy of Sciences of the United States of America, 108, 5116–5121. https://doi.org/10.1073/pnas.1101765108Google Scholar

Plotnik, J. M., de Waal, F. B. M., & Reiss, D. (2006). Self-recognition in an Asian elephant. Proceedings of the National Academy of Sciences of the United States of America, 103, 17053–17057. https://doi.org/10.1073/pnas.0608062103Google Scholar

Potts, R. (2004). Paleo-environmental basis of cognitive evolution in great apes. American Journal of Primatology, 62, 209–228. https://doi.org/10.1002/ajp.20016Google Scholar

Povinelli, D. J., & Vonk, J. (2003). Chimpanzee minds: Suspiciously human? Trends in Cognitive Sciences, 7, 157–160. https://doi.org/10.1016/S1364-6613(03)00053-6Google Scholar

Pravosudov, V. V., Kitaysky, A. S., Wingfield, J. C., & Clayton, N. S. (2001). Long-term unpredictable foraging conditions and physiological stress response in mountain chickadees (Poecile gambeli). General and Comparative Endocrinology, 123, 324–331. https://doi.org/10.1006/gcen.2001.7684Google Scholar

Premack, D., & Woodruff, G. (1978). Does the chimpanzee have a theory of mind? Behavioral and Brain Sciences, 1, 515–526.Google Scholar

Raby, C. R., Alexis, D. M., Dickinson, A., & Clayton, N. S. (2007). Planning for the future by western scrub-jays. Nature, 445, 919–921. https://doi.org/10.1038/nature05575Google Scholar

Reader, S. M., & Laland, K. N. (2002). Social intelligence, innovation and enhanced brain size in primates. Proceedings of the National Academy of Sciences of the United States of America, 99, 4436–4441. https://doi.org/10.1073/pnas.062041299Google Scholar

Redshaw, J. & Suddendorf, T. (2016). Children’s and Apes’ preparatory responses to two mutally exclusive possibilities. Current Biology, 26, 1758–1762.Google Scholar

Redshaw, J., Taylor, A. H., & Suddendorf, T. (2017). Flexible planning in ravens? Trends on Cognitive Sciences, 21, 821–822.Google Scholar

Rosati, A. G. (2017). Foraging cognition: Reviving the ecological intelligence hypothesis. Trends in Cognitive Sciences, 21, 691–702. https://doi.org/10.1016/j.tics.2017.05.011Google Scholar

Sanders, F. K., & Young, J. Z. (1940). Learning and other functions of the higher nervous centers of Sepia. Journal of Neurophysiology, 3, 501–526.Google Scholar

Sanz, C., Morgan, D., & Gulick, S. (2004). New insights into chimpanzees, tools, and termites from the Congo Basin. American Naturalist, 164, 567–581. https://doi.org/10.1086/424803Google Scholar

Schacter, D. L., Addis, D. R., Hassabis, D., Martin, V. C., Spreng, R. N., & Szpunar, K. K. (2012). The future of memory: Remembering, imagining, and the brain. Neuron, 76, 677–694. https://doi.org/10.1016/j.neuron.2012.11.001Google Scholar

Scheel, D., Godfrey-Smith, P., & Lawrence, M. (2014). Octopus tetricus (Mollusca: Cephalopoda) as an ecosystem engineer. Scientia Marina, 78, 521–528. https://doi.org/10.1080/19420889.2017.1395994Google Scholar

Schnell, A. K., Amodio, P., Boeckle, M., & Clayton, N. S. (2021a). How intelligent is a cephalopod? Lessons from comparative cognition. Biological Reviews, 96(1), 162–178. https://doi.org/doi:10.1111/brv.12651Google Scholar

Schnell, A. K., Boeckle, M., Rivera, M., Clayton, N. S., & Hanlon, R. T. (2021b). Cuttlefish exert self-control in a delay of gratification task. Proceedings of the Royal Society B, 288, 20203161. https://doi.org/10.6084/m9.figshare.c.5309888Google Scholar

Schnell, A. K., Clayton, N. S., Hanlon, R. R. T., & Jozet-Alves, C. (2021c). Episodic-like memory is preserved with age in cuttlefish. Proceedings of the Royal Society B, 288, 20211052. https://doi.org/10.1098/rspb.2021.1052Google Scholar

Schnell, A. K., & Clayton, N. S. (2019). Cephalopod cognition. Current Biology, 29, R726–R732. https://doi.org/10.1016/j.cub.2019.06.049Google Scholar

Schnell, A. K., Smith, C. L., Hanlon, R. T., & Harcourt, R. (2015). Giant Australian cuttlefish use mutual assessment to resolve male-male contests. Animal Behaviour, 107, 31–40.Google Scholar

Seed, A. M., Emery, N. J., & Clayton, N. S. (2009). Intelligence in corvids and apes: A case of convergent evolution? Ethology, 115, 401–420. https://doi.org/10.1111/j.1439-0310.2009.01644.xGoogle Scholar

Seyfarth, R. M., Cheney, D. L., & Marler, P. (1980). Vervet monkey alarm calls: Semantic communication in a free-ranging primate. Animal Behaviour, 28, 1070–1094. https://doi.org/10.1016/S0003-3472(80)80097-2Google Scholar

Shultz, S., & Dunbar, R. I. (2006). Both social and ecological factors predict ungulate brain size. Proceedings of the Royal Society B, 273, 207–215. https://doi.org/10.1098/rspb.2005.3283Google Scholar

Silk, J. B. (2007). Social components of fitness in primate groups. Science, 317, 1347–1351. https://doi.org/10.1126/science.1140734Google Scholar

Skelhorn, J., & Rowe, C. (2016). Cognition and the evolution of camouflage. Proceedings of the Royal Society B, 283, 20152890. https://doi.org/10.1098/rspb.2015.2890Google Scholar

Smith, C. D. (2003). Diet of Octopus vulgaris in False Bay, South Africa. Marine Biology, 143, 1127–1133.Google Scholar

Sol, D., Duncan, R. P., Blackburn, T. M., Cassey, P., & Lefebvre, L. (2005). Big brains, enhanced cognition, and response of birds to novel environments. Proceedings of the National Academy of Sciences of the United States of America, 102, 5460–5465. https://doi.org/10.1073/pnas.0408145102Google Scholar

Street, S. E., Navarrette, A. F., Reader, S. M., & Laland, K. N. (2017). Coevolution of cultural intelligence, extended life history, sociality, and brain size in primates. Proceedings of the National Academy of Sciences of the United States of America, 114, 7908–7914. https://doi.org/10.1073/pnas.1620734114Google Scholar

Stulp, G., Emery, N. J., Verhulst, S., & Clayton, N. S. (2009). Western scrub-jays conceal auditory information when competitors can hear but cannot see. Biology Letters, 5, 20090330. https://doi.org/10.1098/rsbl.2009.0330Google Scholar

Suddendorf, T., & Corballis, M. C. (1997). Mental time travel and the evolution of the human mind. Genetic, Social, and General Psychology Monographs, 123, 133–167.Google Scholar

Suddendorf, T., & Corballis, M. C. (2010). Behavioural evidence for mental time travel in nonhuman animals. Behavioural Brain Research, 215, 292–298.CrossRefGoogle ScholarPubMed

Suddendorf, T., Crimston, J., & Redshaw, J. (2017). Preparatory responses to socially determined, mutually exclusive possibilities in chimpanzees and children. Biology Letters, 13, 20170170.Google Scholar

Taylor, A. H., Hunt, G. R., Medina, F. S., & Gray, R. D. (2009). Do new Caledonian crows solve physical problems through causal reasoning? Proceedings of the Royal Society B, 276, 247–254. https://doi.org/10.1098/rspb.2008.1107Google Scholar

Tecwyn, E. C., Thorpe, S. K. S., & Chappell, J. (2013). A novel test of planning ability: Great apes can pla step-by-step, but not in advance of action. Behavioural Processes, 100, 174–184.Google Scholar

Teufel, C. R., Clayton, N. S., & Russell, J. R. (2013). Two-year-old children’s understanding of visual perception and knowledge formation in others. Journal of Cognition and Development, 14, 203–228. https://doi.org/10.1080/15248372.2012.664591CrossRefGoogle Scholar

Tomasello, M., & Call, J. (1994). Social cognition of monkeys and apes. American Journal of Physical Anthropology, 37, 273–305. https://doi.org/10.1002/ajpa.1330370610Google Scholar

Tulving, E. (1972). Episodic and semantic memory. In Tulving, E. and Donaldson, W. (Eds.), Organization of memory (pp. 381–402). Academic Press.Google Scholar

Tulving, E. (1985). Memory and consciousness. Canadian Psychology, 26, 1–12.Google Scholar

de Waal, F. B. M. (1986) Conflict resolution in monkeys and apes. In Benirschke, K. (Ed.), Primates. Proceedings in life sciences (pp. 341–350). Springer. https://doi.org/10.1007/978-1-4612-4918-4_26Google Scholar

de Waal, F. B. M., & van Roosmalen, A. (1979). Reconciliation and consolation among chimpanzees. Behavioral Ecology and Sociobiology, 5, 55–66. https://doi.org/10.1007/BF00302695Google Scholar

Wells, M. J. (1978). Octopus: Physiology and behaviour of an advanced invertebrate. Chapman & Hall.Google Scholar

Whiten, A., & Byrne, R. W. (1988). Tactical deception in primates. Behavioral and Brain Sciences, 11, 233–273. https://doi.org/10.1017/S0140525X00049682Google Scholar

Whiten, A., & Byrne, R. W. (1997). Machiavellian intelligence II: Extension and evaluations. Cambridge University Press.Google Scholar

van Woerden, J. T. Willems, E. P., van Schaik, C. P., & Isler, K. (2012). Large brains buffer energetic effects of seasonal habitats in catarrhine primates. Evolution, 66, 191–199. https://doi.org/10.1111/j.1558-5646.2011.01434.xGoogle Scholar

Zepeda, E. A., Veline, R. J., & Crook, R. J. (2017). Rapid associative learning and stable long-term memory in the squid Euprymna scolopes. Biological Bulletin, 232, 212–218. https://doi.org/10.1086/693461Google Scholar

Zuberbühler, K. (2000). Referential labelling in Diana monkeys. Animal Behaviour, 59, 917–927. https://doi.org/10.1006/anbe.1999.1317Google Scholar

Zuberbühler, K. (2001). Predator-specific alarm calls in Campbell’s monkeys, Cercopithecus campbelli. Behavioral Ecology and Sociobiology, 50, 414–422. https://doi.org/10.1007/s002650100383Google Scholar

Zuberbühler, K., & Jenny, D. (2002). Leopard predation and primate evolution. Journal of Human Evolution, 43, 873–886. https://doi.org/10.1006/jhev.2002.0605Google Scholar

Babb, S. J., & Crystal, J. D. (2006). Episodic-like memory in the rat. Current Biology, 16(13), 1317–1321. https://doi.org/10.1016/j.cub.2006.05.025Google Scholar

Baddeley, A. (2001). The concept of episodic memory. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences, 356(1413), 1345–1350. https://doi.org/10.1098/rstb.2001.0957Google Scholar

Barham, W., Visser, J., Schoonbee, H., & Evans, L. (1985). Some observations on the influence of stress on ECG patterns in Oreochromis mossambicus and Cyprinus carpio. Comparative Biochemistry and Physiology. A, Comparative Physiology, 82(3), 549–552. https://doi.org/10.1016/0300-9629(85)90431-1Google Scholar

Bevins, R. A. (1992). Selective associations: A methodological critique. The Psychological Record, 42(1), 57–73. https://doi.org/10.1007/BF03399587Google Scholar

Bischof, H. J. (1994). Sexual imprinting as a two-stage process. In Hogan, J. A. and Bolhuis, J. J. (Eds.), Causal mechanisms of behavioural development (pp. 82–97). Cambridge University Press.Google Scholar

Bolhuis, J. J., Beckers, G. J., Huybregts, M. A., Berwick, R. C., & Everaert, M. B. (2018). Meaningful syntactic structure in songbird vocalizations? PLoS Biology, 16(6), e2005157. https://doi.org/10.1371/journal.pbio.2005157Google Scholar

Bossema, I. (1979). Jays and oaks: an eco-ethological study of a symbiosis. Behaviour, 70, 1–116. https://doi.org/10.1163/156853979X00016Google Scholar

Bouton, M. E. (2016). Learning and behavior: A contemporary synthesis, 2nd ed. Sinauer.Google Scholar

Burdyn, L. E., Noble, L. M., Shreves, L. E., & Thomas, R. K. (1984). Long-term memory for concepts by squirrel monkeys. Physiological Psychology, 12(2), 97–102. https://doi.org/10.3758/BF03332174Google Scholar

Byrne, R. W. (2002). Imitation of novel complex actions: What does the evidence from animals mean? Advances in the Study of Behavior, 31, 77–105. https://doi.org/10.1016/S0065-3454(02)80006-7Google Scholar

Chen, J., Van Rossum, D., & Ten Cate, C. (2015). Artificial grammar learning in zebra finches and human adults: XYX versus XXY. Animal Cognition, 18(1), 151–164. https://doi.org/10.1007/s10071-014-0786-4Google Scholar

Clayton, N. S., & Dickinson, A. (1998). Episodic-like memory during cache recovery by scrub jays. Nature, 395(6699), 272–274. https://doi.org/10.1038/26216Google Scholar

Clayton, N. S., & Dickinson, A. (1999). Scrub jays (Aphelocoma coerulescens) remember the relative time of caching as well as the location and content of their caches. Journal of Comparative Psychology, 113(4), 403–416. https://doi.org/10.1037/0735-7036.113.4.403Google Scholar

Cole, S., Hainsworth, F. R., Kamil, A. C., Mercier, T., & Wolf, L. L. (1982). Spatial learning as an adaptation in hummingbirds. Science, 217(4560), 655–657. https://doi.org/10.1126/science.217.4560.655Google Scholar

Cook, R. G., Levison, D. G., Gillett, S. R., & Blaisdell, A. P. (2005). Capacity and limits of associative memory in pigeons. Psychonomic Bulletin & Review, 12(2), 350–358. https://doi.org/10.3758/BF03196384Google Scholar

Crystal, J. D. (2010). Episodic-like memory in animals. Behavioural Brain Research, 215(2), 235–243. https://doi.org/10.1016/j.bbr.2010.03.005Google Scholar

Domjan, M. (1993). Biological constraints on instrumental and classical conditioning: Implications for general process theory. In Bower, G. H. (Ed.), The psychology of learning and motivation (vol. 17, pp. 215–277). Academic Press. https://doi.org/10.1016/S0079-7421(08)60100-0Google Scholar

Domjan, M., & Krause, M. (2017). Generality of the laws of learning: from biological constraints to ecological perspectives. In Menzel, R. (Ed.), Learning theory and behavior, Vol. 1, Learning and memory: A comprehensive reference (2nd ed., pp. 189–201). Academic Press. https://doi.org/10.1016/B978-0-12-809324-5.21012-2Google Scholar

Emlen, S. T. (1970). Celestial rotation: Its importance in the development of migratory orientation. Science, 170(3963), 1198–1201. https://doi.org/10.1126/science.170.3963.1198Google Scholar

Enquist, M., Lind, J., & Ghirlanda, S. (2016). The power of associative learning and the ontogeny of optimal behaviour. Royal Society Open Science, 3(11), 160734. https://doi.org/10.1098/rsos.160734Google Scholar

Fagot, J., & Cook, R. G. (2006). Evidence for large long-term memory capacities in baboons and pigeons and its implications for learning and the evolution of cognition. Proceedings of the National Academy of Sciences, 103(46), 17564–17567. https://doi.org/10.1073/pnas.0605184103Google Scholar

Gallistel, C. R. (1990). The organization of learning. MIT Press.Google Scholar

Gentner, T. Q., Fenn, K. M., Margoliash, D., & Nusbaum, H. C. (2006). Recursive syntactic pattern learning by songbirds. Nature, 440(7088), 1204–1207. https://doi.org/10.1038/nature04675Google Scholar

Ghirlanda, S. (2017). Can squirrel monkeys learn an ABnA grammar? A re-evaluation of Ravignani et al. (2013). PeerJ, 5, e3806. https://doi.org/10.7717/peerj.3806Google Scholar

Ghirlanda, S., Lind, J., & Enquist, M. (2017). Memory for stimulus sequences: A divide between humans and other animals? Royal Society Open Science, 4(6), 161011. https://doi.org/10.1098/rsos.161011Google Scholar

Ghirlanda, S., Lind, J., & Enquist, M. (2020). A-learning: A new formulation of associative learning theory. Psychonomic Bulletin & Review, 27, 1166–1194. https://doi.org/10.3758/s13423-020-01749-0Google Scholar

Gleitman, H. (1971). Forgetting of long-term memories in animals. In Honig, W. K. & James, P. H. R. (Eds.), Animal memory (pp. 1–44). Academic Press.Google Scholar

Gould, J. L., & Marler, P. (1984). Ethology and the natural history of learning. In Marler, P. & Terrrace, H. S. (Eds.), The biology of learning (pp. 47–74). Springer. https://doi.org/10.1007/978-3-642-70094-1_3Google Scholar

Griffiths, D., Dickinson, A., & Clayton, N. (1999). Episodic memory: What can animals remember about their past? Trends in Cognitive Sciences, 3(2), 74–80. https://doi.org/10.1016/S1364-6613(98)01272-8Google Scholar

Gross, C. T., & Canteras, N. S. (2012). The many paths to fear. Nature Reviews Neuroscience, 13(9), 651. https://doi.org/10.1038/nrn3301Google Scholar

Guthrie, E. R. (1935). The psychology of learning. Harper.Google Scholar

Hall, G. (2002). Associative structures in Pavlovian and instrumental conditioning. In Gallistel, R. (Ed.), Stevens’ handbook of experimental psychology (3rd ed., pp. 1–45). Wiley Online Library. https://doi.org/10.1002/0471214426.pas0301Google Scholar

Hanggi, E. B., & Ingersoll, J. F. (2009). Long-term memory for categories and concepts in horses (Equus caballus). Animal Cognition, 12(3), 451–462. https://doi.org/10.1007/s10071-008-0205-9Google Scholar

Healy, S. D., & Hurly, T. A. (2003). Cognitive ecology: Foraging in hummingbirds as a model system. Advances in the Study of Behavior, 32, 325–359. https://doi.org/10.1016/S0065-3454(03)01007-6Google Scholar

Helfman, G. S., & Schultz, E. T. (1984). Social transmission of behavioural traditions in a coral reef fish. Animal Behaviour, 32, 379–384. https://doi.org/10.1016/S0003-3472(84)80272-9Google Scholar

Herbranson, W. T., & Shimp, C. P. (2008). Artificial grammar learning in pigeons. Learning & Behavior, 36(2), 116–137. https://doi.org/10.3758/LB.36.2.116Google Scholar

Hogan, J. A. (1997). Energy models of motivation: A reconsideration. Applied Animal Behaviour Science, 53, 89–105. https://doi.org/10.1016/S0168-1591(96)01153-7Google Scholar

Hogan, J. A. (2017). The study of behavior: Organization, methods, and principles. Cambridge University Press. https://doi.org/10.1017/9781108123792Google Scholar

Holland, P. C. (2008). Cognitive versus stimulus-response theories of learning. Learning & Behavior, 36(3), 227–241. https://doi.org/10.3758/LB.36.3.227Google Scholar

Holmes, P. A., & Bitterman, M. (1966). Spatial and visual habit reversal in the turtle. Journal of Comparative and Physiological Psychology, 62(2), 328–331. https://doi.org/10.1037/h0023675Google Scholar

Hull, C. L. (1943). Principles of behaviour. Appleton-Century-Crofts.Google Scholar

Hultsch, H., & Todt, D. (1989). Memorization and reproduction of songs in nightingales (Luscinia megarhynchos): Evidence for package formation. Journal of Comparative Physiology A, 165(2), 197–203. https://doi.org/10.1007/BF00619194Google Scholar

Immelmann, K. (1972). The influence of early experience upon the development of social behaviour in estrildine finches. Proceedings XVth Ornithological Congress, Den Haag 1970, pp. 316–338.Google Scholar

Janik, V. M., & Slater, P. J. (1997). Vocal learning in mammals. Advances in the Study of Behaviour, 26, 59–100. https://doi.org/10.1016/S0065-3454(08)60377-0Google Scholar

Jensen, R. (2006). Behaviorism, latent learning, and cognitive maps: Needed revisions in introductory psychology textbooks. The Behavior Analyst, 29(2), 187–209. https://doi.org/10.1007/BF03392130Google Scholar

Johnson, C. K., & Davis, R. T. (1973). Seven-year retention of oddity learning set in monkeys. Perceptual and Motor Skills, 37(3), 920–922. https://doi.org/10.2466/pms.1973.37.3.920Google Scholar

Jozet-Alves, C., Bertin, M., & Clayton, N. S. (2013). Evidence of episodic-like memory in cuttlefish. Current Biology, 23(23), R1033–R1035. https://doi.org/10.1016/j.cub.2013.10.021Google Scholar

van Kampen, H. S., & de Vos, G. J. (1995). A study of blocking and overshadowing in filial imprinting. Quarterly Journal of Experimental Psychology, 49B, 346–356. https://doi.org/10.1080/14640749508401457Google Scholar

Kastak, C. R., & Schusterman, R. J. (2002). Long-term memory for concepts in a California sea lion (Zalophus californianus). Animal Cognition, 5(4), 225–232. https://doi.org/10.1007/s10071-002-0153-8Google Scholar

Kristo, G., Janssen, S. M., & Murre, J. M. (2009). Retention of autobiographical memories: An internet-based diary study. Memory, 17(8), 816–829. https://doi.org/10.1080/09658210903143841Google Scholar

Kullberg, C., & Lind, J. (2002). An experimental study of predator recognition in great tit fledglings. Ethology, 108, 429–441. https://doi.org/10.1046/j.1439-0310.2002.00786.xGoogle Scholar

Lieberman, D. A. (2011). Human learning and memory. Cambridge University Press.Google Scholar

Lind, J. (2018). What can associative learning do for planning? Royal Society Open Science, 5(11), 180778. https://doi.org/10.1098/rsos.180778Google Scholar

Lind, J., Enquist, M., & Ghirlanda, S. (2015). Animal memory: A review of delayed matching-to-sample data. Behavioural Processes, 117, 52–58. https://doi.org/10.1016/j.beproc.2014.11.019Google Scholar

Lind, J., Ghirlanda, S., & Enquist, M. (2019). Social learning through associative processes: A computational theory. Royal Society Open Science, 6, 181777. https://doi.org/10.1098/rsos.181777Google Scholar

Lorenz, K. (1935). Der Kumpan in der Umwelt des Vogel. Journal of Ornithology, 83, 137–413. https://doi.org/10.1007/BF01905355Google Scholar

MacDonald, S. E. (1993). Delayed matching-to-successive-samples in pigeons: Short-term memory for item and order information. Animal Learning & Behavior, 21(1), 59–67. https://doi.org/10.3758/BF03197977Google Scholar

Mackintosh, N. J. (1983). Conditioning and associative learning. Oxford University Press. https://doi.org/10.2307/1422540Google Scholar

Macphail, E. M., & Bolhuis, J. J. (2001). The evolution of intelligence: Adaptive specializations versus general process. Biological Reviews, 76(3), 341–364. https://doi.org/10.1017/s146479310100570xGoogle Scholar

McFarland, D. (1985). Animal behaviour, vol. 1. Pitman.Google Scholar

McFarland, D. J. (1971). Feedback mechanisms in animal behaviour. Academic Press.Google Scholar

McLaren, I. P. L., & Mackintosh, N. J. (2000). An elemental model of associative learning: I. Latent inhibition and perceptual learning. Animal Learning & Behavior, 28(3), 211–246. https://doi.org/10.3758/BF03200258Google Scholar

McLaren, I. P. L., & Mackintosh, N. J. (2002). Associative learning and elemental representation: II. Generalization and discrimination. Animal Learning & Behavior, 30, 177–200. https://doi.org/10.3758/BF03192828Google Scholar

Mets, D. G., & Brainard, M. S. (2019). Learning is enhanced by tailoring instruction to individual genetic differences. eLife, 8, e47216 https://doi.org/10.7554/eLife.47216Google Scholar

Murphy, R. A., Mondragón, E., & Murphy, V. A. (2008). Rule learning by rats. Science, 319(5871), 1849–1851. https://doi.org/10.1126/science.1151564Google Scholar

Ormerod, B. K., & Beninger, R. J. (2002). Water maze versus radial maze: Differential performance of rats in a spatial delayed match-to-position task and response to scopolamine. Behavioural Brain Research, 128(2), 139–152. https://doi.org/10.1016/S0166-4328(01)00316-3Google Scholar

Overman, W. Jr., & Doty, R. (1980). Prolonged visual memory in macaques and man. Neuroscience, 5(11), 1825–1831. https://doi.org/10.1016/0306-4522(80)90032-9Google Scholar

Pahl, M., Zhu, H., Pix, W., Tautz, J., & Zhang, S. (2007). Circadian timed episodic-like memory – A bee knows what to do when, and also where. The Journal of Experimental Biology, 210(20), 3559–3567. https://doi.org/10.1242/jeb.005488Google Scholar

Patterson, T. L., & Tzeng, O. J. (1979). Long-term memory for abstract concepts in the lowland gorilla (Gorilla g. gorilla). Bulletin of the Psychonomic Society, 13(5), 279–282. https://doi.org/10.3758/BF03336870Google Scholar

Pavlov, I. P. (1927). Conditioned reflexes. Oxford University Press.Google Scholar

Pearce, J. M. (2008). Animal learning and cognition, 3rd ed. Psychology Press. https://doi.org/10.4324/9781315782911Google Scholar

Perry, S. E., & Manson, J. H. (2003). Traditions in monkeys. Evolutionary Anthropology, 12, 71–81. https://doi.org/10.1002/evan.10105Google Scholar

Pierce, W. D., & Cheney, Carl D. (2008). Behavior analysis and learning. Psychology Press. https://doi.org/10.4324/9780203441817Google Scholar

Pilley, J. W., & Reid, A. K. (2011). Border collie comprehends object names as verbal referents. Behavioural Processes, 86(2), 184–195. https://doi.org/10.1016/j.beproc.2010.11.007Google Scholar

Pinel, J. P., & Treit, D. (1978). Burying as a defensive response in rats. Journal of Comparative and Physiological Psychology, 92(4), 708–712. https://doi.org/10.1037/h0077494Google Scholar

Roberts, W. A., Feeney, M. C., MacPherson, K., Petter, M., McMillan, N., & Musolino, E. (2008). Episodic-like memory in rats: Is it based on when or how long ago? Science, 320(5872), 113–115. https://doi.org/10.1126/science.1152709Google Scholar

Simons, D. J., & Chabris, C. F. (1999). Gorillas in our midst: Sustained inattentional blindness for dynamic events. Perception, 28(9), 1059–1074. https://doi.org/10.1068/p281059Google Scholar

Skinner, B. (1936). Conditioning and extinction and their relation to drive. The Journal of General Psychology, 14(2), 296–317. https://doi.org/10.1080/00221309.1936.9713156Google Scholar

Soha, J. (2016). The auditory template hypothesis: A review and comparative perspective. Animal Behaviour, 124, 247–254. https://doi.org/10.1016/j.anbehav.2016.09.016Google Scholar

Staddon, J. E. R. (2001). The new behaviorism: Mind, mechanism and society. Taylor & Francis.Google Scholar

Stephens, D. W. (1987). On economically tracking a variable environment. Theoretical Population Biology, 32(1), 15–25. https://doi.org/10.1016/0040-5809(87)90036-0Google Scholar

Suzuki, T. N., Wheatcroft, D., & Griesser, M. (2016). Experimental evidence for compositional syntax in bird calls. Nature Communications, 7, 10986. https://doi.org/10.1038/ncomms10986Google Scholar

Tennie, C., Völter, C. J., Vonau, V., Hanus, D., Call, J., & Tomasello, M. (2019). Chimpanzees use observed temporal directionality to learn novel causal relations. Primates, 60(6), 517–524. https://doi.org/10.1007/s10329-019-00754-9Google Scholar

Thistlethwaite, D. (1951). A critical review of latent learning and related experiments. Psychological Bulletin, 48(2), 97–129. https://doi.org/10.1037/h0055171Google Scholar

Thorndike, E. L. (1898). Animal intelligence, an experimental study of the associative processes in animals. Macmillan. https://doi.org/10.1037/h0092987Google Scholar

Thorndike, E. L. (1911). Animal intelligence. Experimental studies. Macmillan. https://doi.org/10.5962/bhl.title.55072Google Scholar

Tolman, E. C. (1932). Purposive behavior in animals and men. University of California Press.Google Scholar

Tolman, E. C., & Honzik, C. H. (1930). Introduction and removal of reward, and maze performance in rats. University of California Publications in Psychology, 4, 257–275.Google Scholar

Vaughan, W., & Greene, S. L. (1984). Pigeon visual memory capacity. Journal of Experimental Psychology: Animal Behavior Processes, 10(2), 256–271. https://doi.org/10.1037/0097-7403.10.2.256Google Scholar

Völter, C. J., & Call, J. (2014). Great apes (Pan paniscus, Pan troglodytes, Gorilla gorilla, Pongo abelii) follow visual trails to locate hidden food. Journal of Comparative Psychology, 128(2), 199–208. https://doi.org/10.1037/a0035434Google Scholar

van de Waal, E., Borgeaud, C., & Whiten, A. (2013). Potent social learning and conformity shape a wild primate’s foraging decisions. Science, 340(6131), 483–485. https://doi.org/10.1126/science.1232769Google Scholar