Skip to main content Accessibility help
×
Hostname: page-component-8448b6f56d-dnltx Total loading time: 0 Render date: 2024-04-24T14:25:27.863Z Has data issue: false hasContentIssue false

16 - Syntax and Uncertainty

from Part III - Linguistics and Other Sciences

Published online by Cambridge University Press:  02 October 2018

Ángel J. Gallego
Affiliation:
Universitat Autònoma de Barcelona
Roger Martin
Affiliation:
Yokohama National University, Japan
Get access

Summary

This chapter seeks to articulate some necessary steps towards a linking hypothesis between two levels of analysis that are central for any integrative attempt of the sort that animates the biolinguistic enterprise: the “cognome” and the “dynome”, or more generally, the mind and the brain. Unlike previous work seeking to bridge the gap between mind and brain, we develop an approach that is not merely locationist but seeks to ground aspects of linguistic knowledge, including syntactic principles of our language faculty, and processing onto basic neurophysiological principles. The key notion behind the suggested linking hypothesis rhythm. At the level of the cognome, rhythm is intrinsically related to the better known notion of cyclicity. At the level of the dynome, rhythm is investigated under the notion of brain oscillation. In both cases, the basic idea we will exploit is that rhythmic processes act as structuring principles.
Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2018

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Baranger, M. (2004). Chaos, complexity and entropy. Ms. Cambridge, Mass., MIT.Google Scholar
Binder, P. (2008). Frustration in complexity. Science 320: 322323.CrossRefGoogle ScholarPubMed
Boccara, N. (2002). Modeling Complex Systems. New York: Springer. 2nd edn, 2010.Google Scholar
Carr, J. (2006). Center manifold. Scholarpedia 1(12): 1826. DOI: 10.4249/scholarpedia.1826.CrossRefGoogle Scholar
Ding, N., Melloni, L., Zhang, H., Tian, X. & Poeppel, D. (2016). Cortical tracking of hierarchical linguistic structures in connected speech. Nature Neuroscience 19: 158164. DOI: 10.1038/nn.4186.CrossRefGoogle ScholarPubMed
Dirac, P. A. M. (1958). The Principles of Quantum Mechanics, 4th edn. Oxford: Clarendon Press.CrossRefGoogle Scholar
Falconer, K. (2014). Fractal Geometry. London: Wiley.Google Scholar
Feynman, R., Hibbs, A. & Styer, D. (2005). Quantum Mechanics and Path Integrals. New York: Dover.Google Scholar
Hansel, D., Mato, G. & Meunier, C. (1995). Synchrony in excitatory neural networks. Neural Computation 7(2): 307337.CrossRefGoogle ScholarPubMed
Haragus, M. & Iooss, G. (2011). Local Bifurcations, Center Manifolds, and Normal Forms in Infinite-Dimensional Dynamical Systems. London: Springer.CrossRefGoogle Scholar
Hasselblat, B. & Katok, A. (2003). Introduction to the Modern Theory of Dynamical Systems. Cambridge: Cambridge University Press.Google Scholar
Koester, J. (1991). Voltage-gated ion channels and the generation of the action potential. In Kandel, E., Schwartz, J. & Jessell, T. (eds.), Principles of Neural Science, 3rd edn. Norwalk: Appleton and Lange, 104118.Google Scholar
Krivochen, D. (2014). Language, chaos and entropy: A physical take on biolinguistics. Iberia: IJTL 6: 2774.Google Scholar
Krivochen, D. (2015). On phrase structure building and labelling algorithms: Towards a non-uniform theory of syntactic structures. The Linguistic Review 32(3): 515572.Google Scholar
Ladyman, J., Lambert, J. & Wiesner, K. (2012). What is a complex system? European Journal for Philosophy of Science 3(1): 3367.CrossRefGoogle Scholar
Lasnik, H. & Kuppin, J. (1977). A restrictive theory of transformational grammar. Theoretical Linguistics 4: 173196.CrossRefGoogle Scholar
Manrubia, S., Mikhailov, A. & Zanette, D. (2004). Emergence of Dynamical Order: Synchronization Phenomena in Complex Systems. Singapore: World Scientific.CrossRefGoogle Scholar
Moessner, R. and Ramírez, A. (2006). Geometrical frustration. Physics Today (February): 2429.CrossRefGoogle Scholar
Papo, D., Buldú, J., Boccaletti, S. & Bullmore, E. (2014). Complex network theory and the brain. Philosophical Transactions of the Royal Society B 369 (1653). DOI: 10.1098/rstb.2013.0520.CrossRefGoogle ScholarPubMed
Postal, P. (1997). Three Investigations on Extraction. Cambridge, Mass.: MIT Press.Google Scholar
Ramal, R., Toulouse, G. & Virasoro, M. (1986). Ultrametricity for physicists. Reviews of Modern Physics 58(3): 765788.CrossRefGoogle Scholar
Ross, J. R. (1967). Constraints on variables in syntax. Doctoral disseration. Massachusetts Institute of Technology.Google Scholar
Saddy, D. & Krivochen, D. (2016). Emergent oscillations and cyclicity: Physical aspects of frustrated cognitive systems. Paper presented at first International Symposium on the Physics of Language. Sophia University, Tokyo. 45 March 2016.Google Scholar
Saddy, D. & Uriagereka, J. (2004). Measuring language. International Journal of Bifurcation and Chaos 14(2): 383404.CrossRefGoogle Scholar
Sandamirskaya, Y., Zibner, S., Schneegans, S. & Schöner, G. (2013). Using Dynamic Field Theory to extend the embodiment stance toward higher cognition. New Ideas in Psychology 31(3): 322339.CrossRefGoogle Scholar
Schöner, G. (2009). Development as change of system dynamics: Stability, instability, and emergence. In Spencer, J. et al. (eds.), Toward a Unified Theory of Development Connectionism and Dynamic System Theory Re-Considered. Oxford: Oxford University Press. DOI: 10.1093/acprof:oso/9780195300598.003.0002.Google Scholar
Simon, H. (1984). The Sciences of the Artificial. Cambridge, Mass.: MIT Press.Google Scholar
Spencer, J., Perone, S. & Johnson, J. (2009). Dynamic Field Theory and embodied cognitive dynamics. In Spencer, J. et al. (eds.), Toward a Unified Theory of Development Connectionism and Dynamic System Theory Re-Considered. Oxford: Oxford University Press. DOI: 10.1093/acprof:oso/9780195300598.003.0005.CrossRefGoogle Scholar
Stein, D. & Newman, C. (2011). Spin glasses: Old and new complexity. Complex Systems 20: 115126.CrossRefGoogle Scholar
Tegmark, M. (2007). The Mathematical Universe. arXiv: 0704.0646v2. DOI: 10.1007/s10701-007-9186-9.CrossRefGoogle Scholar
Uriagereka, J. (2002a). Multiple Spell-Out. In Derivations: Exploring the Dynamics of Syntax. London: Routledge, 4565.Google Scholar
Uriagereka, J. (2002b). Warps: Some thoughts on categorization. In Derivations: Exploring the Dynamics of Syntax. London: Routledge, 288317.Google Scholar
Uriagereka, J. (2008). Syntactic Anchors: On Semantic Restructuring. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Uriagereka, J. (2011). A sketch of the grammar in non-classical conditions. Ms. UMD.Google Scholar
Uriagereka, J. (2012). Spell-Out and the Minimalist Program. Oxford: Oxford University Press.Google Scholar
Uriagereka, J. (2015). ‘Natural’ grammars and natural language. In Fernandez, B. & Salaburu, P. (eds.), Ibon Sarasola, Gorazarre. Bilbao: Editorial de la Universidad del País Vasco, 66566674.Google Scholar
Villegas, P., Moretti, P. & Muñoz, M. A. (2014). Frustrated hierarchical synchronization and emergent complexity in the human connectome network. Nature, Scientific Reports 4, Article number: 5990. DOI: 10.1038/srep05990.CrossRefGoogle Scholar
Zeeman, C. (1977). Catastrophe Theory: Selected Papers 1972–1977. Cambridge, Mass.: Addison-Wesley.Google Scholar
Zipf, G. (1949). Human Behavior and the Principle of Least Effort. Cambridge, Mass.: Addison-Wesley.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×