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Article published In: How the Brain Got Language: Towards a New Road Map
Edited by Michael A. Arbib
[Interaction Studies 19:1/2] 2018
► pp. 22–37

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Computational challenges of evolving the language-ready brain

2. Building towards neurolinguistics

 | University of California at San Diego
Published online: 17 September 2018
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https://doi.org/10.1075/is.17036.arb
Abstract
A theory of evolving the language-ready brain requires a theory of what it is that evolved. We offer the TCG (Template Construction Grammar) model of comprehension and production of utterances to exhibit hypotheses on how utterances may link to “what language is about.” A key subsystem of TCG is the SemRep system for semantic representation of a visual scene. We offer an account of how it may have evolved as an expansion of the ventral pathway supporting the planning of manual actions, complemented by a dorsal pathway for articulation. The Mirror System Hypothesis (MSH) claims that early Homo sapiens had protolanguage but not language and that cultural evolution yielded the social structures within which children could indeed acquire language. The article poses the challenge of understanding how a brain system could be innately specified that could develop into a TCG-like form, posing a range of questions for future research.
Article outline
  • 1.Introduction
  • 2.The Template Construction Grammar (TCG) model for how the human brain may support language production and comprehension
    • 2.1Modeling using schema theory
    • 2.2A model of language production for visual scene description
    • 2.3A model of language comprehension for visual scene description
  • 3.An evolutionary framework for language-ready pathways and processes
    • 3.1SemRep in LCA-m
    • 3.2SemRep in LCA-c
    • 3.3SemRep in the language-ready brain
    • 3.4Implications
  • 4.Complex action recognition and imitation support the transition to language
  • 5.Towards a new road map
  • Acknowledgements
  • References
References (49)
References
Aboitiz, F. (2012). Gestures, vocalizations and memory in language origins. Frontiers in Evolutionary Neuroscience, 4(2). .Google Scholar logo with link to Google Scholar
(2013). How did vocal behavior “take over” the gestural communication system? Language and Cognition, 51, 167–176. Google Scholar logo with link to Google Scholar
Arbib, M. A. (2012). How the Brain Got Language: The Mirror System Hypothesis. New York & Oxford: Oxford University Press. Google Scholar logo with link to Google Scholar
(2013). Complex Imitation and the Language-Ready Brain. Language and Cognition, 5(2–3), 273–312. Google Scholar logo with link to Google Scholar
(2016). Towards a Computational Comparative Neuroprimatology: Framing the Language-Ready Brain. Physics of Life Reviews, 161, 1–54. Google Scholar logo with link to Google Scholar
(2017). Dorsal and ventral streams in the evolution of the language-ready brain: Linking language to the world. Journal of Neurolinguistics, 431, Part B, 228–253. .Google Scholar logo with link to Google Scholar
Arbib, M. A. & Bonaiuto, J. J. (eds) (2016). From Neuron to Cognition via Computational Neuroscience. Cambridge, MA: The MIT Press.Google Scholar logo with link to Google Scholar
Arbib, M. A. & Caplan, D. (1979). Neurolinguistics must be Computational. Behavioral and Brain Sciences, 21, 449–483. Google Scholar logo with link to Google Scholar
Arbib, M. A., Ganesh, V. & Gasser, B. (2014a). Dyadic Brain Modeling, Ontogenetic Ritualization of Gesture in Apes, and the Contributions of Primate Mirror Neuron Systems. Phil Trans Roy Soc B, 369 (1644), 20130414. Google Scholar logo with link to Google Scholar
Arbib, M. A., Gasser, B. & Barrès, V. (2014b). Language is handy but is it embodied? Neuropsychologia, 551, 57–70. Google Scholar logo with link to Google Scholar
Arbib, M. A. & Lee, J. Y. (2008). Describing visual scenes: Towards a neurolinguistics based on construction grammar. Brain Research, 12251, 146–162. Google Scholar logo with link to Google Scholar
(2009). Template Construction Grammar and the Description of Visual Scenes. The Neurobiology of Language Conference, Chicago.Google Scholar logo with link to Google Scholar
Arbib, M. A. & Liaw, J. -S. (1995). Sensorimotor Transformations in the Worlds of Frogs and Robots. Artificial Intelligence, 721, 53–79. Google Scholar logo with link to Google Scholar
Baker, M. (2001). The Atoms of Language: The Mind’s Hidden Rules of Grammar. New York: Basic Books.Google Scholar logo with link to Google Scholar
Barrès, V. & Arbib, M. A. (2018a). From Gaze Patterns to Utterances: Modeling the Dynamics of Visual Scene Description. Cognitive Science, In preparation.Google Scholar logo with link to Google Scholar
(2018b). SALVIA: A Neuro-Cognitive Model of Normal and Agrammatic Language Comprehension. Brain and Language, In preparation.Google Scholar logo with link to Google Scholar
Barrès, V. & Lee, J. Y. (2014). Template Construction Grammar: From Visual Scene Description to Language Comprehension and Agrammatism. Neuroinformatics, 12(1), 181–208. Google Scholar logo with link to Google Scholar
Behrmann, M. & Plaut, D. C. (2013). Distributed circuits, not circumscribed centers, mediate visual recognition. Trends in Cognitive Sciences, 17(5), 210–219. Google Scholar logo with link to Google Scholar
Berwick, R. C. & Chomsky, N. (2016). Why only us: Language and Evolution, Cambridge, MA: The MIT Press. Google Scholar logo with link to Google Scholar
Bickerton, D. (1995). Language and Human Behavior. Seattle: University of Washington Press.Google Scholar logo with link to Google Scholar
(2009). Adam’s Tongue. How Humans Made Language, How Language Made Humans. New York: Hill & Wang.Google Scholar logo with link to Google Scholar
Bornkessel-Schlesewsky, I. & Schlesewsky, M. (2013). Reconciling time, space and function: A new dorsal–ventral stream model of sentence comprehension. Brain Lang, 125(1), 60–76. Google Scholar logo with link to Google Scholar
Cangelosi, A. & Parisi, D. (eds) (2002). Simulating the Evolution of Language. London: Springer. Google Scholar logo with link to Google Scholar
Caramazza, A. & Zurif, E. B. (1976). Dissociation of algorithmic and heuristic processes in language comprehension: Evidence from aphasia. Brain and Language, 3(4), 572–582. Google Scholar logo with link to Google Scholar
Chang, F. (2015). The role of learning in theories of English and Japanese sentence processing, in Nakyama, M. (ed), Handbook of Japanese psycholinguistics. Boston: De Gruyter Mouton, 353–385. Google Scholar logo with link to Google Scholar
Colagé, I. (2016). The Cultural Evolution of Language and Brain: Comment on “Towards a computational comparative neuroprimatology: Framing the language-ready brain” by M.A. Arbib. Physics of Life Reviews, 161, 61–62. Google Scholar logo with link to Google Scholar
Dehaene, S. & Cohen, L. (2011). The unique role of the visual word form area in reading. TRENDS in Cognitive Sciences, 15(6), 254–262. Google Scholar logo with link to Google Scholar
Draper, B. A., Collins, R. T., Brolio, J., Hanson, A. R. & Riseman, E. M. (1989). The schema system. International Journal of Computer Vision, 21, 209–250. Google Scholar logo with link to Google Scholar
Fagg, A. H. & Arbib, M. A. (1998). Modeling parietal-premotor interactions in primate control of grasping. Neural Netw, 11(7–8), 1277–1303. Google Scholar logo with link to Google Scholar
Fogassi, L., Coudé, G. & Ferrari, P. F. (2013). The extended features of mirror neurons and the voluntary control of vocalization in the pathway to language. Language and Cognition, 51, 145–155. Google Scholar logo with link to Google Scholar
Friederici, A. D. (2011). The brain basis of language processing: from structure to function. Physiological Reviews, 91(4), 1357–1392. Google Scholar logo with link to Google Scholar
Hagoort, P. (2013). MUC (Memory, Unification, Control) and beyond. Frontiers in Psychology, 41. .Google Scholar logo with link to Google Scholar
Hecht, E. E., Gutman, D. A., Bradley, B. A., Preuss, T. M. & Stout, D. (2015). Virtual dissection and comparative connectivity of the superior longitudinal fasciculus in chimpanzees and humans. Neuroimage, 1081, 124–137. Google Scholar logo with link to Google Scholar
Hickok, G. & Poeppel, D. (2007). The cortical organization of speech processing. Nat Rev Neurosci, 8(5), 393–402. Google Scholar logo with link to Google Scholar
Hill, J. C. (1983). A computational model of language acquisition in the two-year-old. Cognition and Brain Theory, 61, 287–317.Google Scholar logo with link to Google Scholar
Kirby, S. (2000). Syntax without natural selection: How compositionality emerges from vocabulary in a population of learners, in Knight, C., Studdert-Kennedy, M. & Hurford, J. R. (eds), The evolutionary emergence of language. Cambridge: Cambridge University Press, 99–119. Google Scholar logo with link to Google Scholar
Kirby, S., Cornish, H. & Smith, K. (2008). Cumulative cultural evolution in the laboratory: An experimental approach to the origins of structure in human language. Proceedings of the National Academy of Sciences, 105(31), 10681–10686. Google Scholar logo with link to Google Scholar
Lightfoot, D. W. (2006). How New Languages Emerge. Cambridge: Cambridge University Press. Google Scholar logo with link to Google Scholar
MacWhinney, B. (1987). The Competition Model, in MacWhinney, B. (ed), Mechanisms of language acquisition. Hillsdale, NJ: Lawrence Erlbaum, 249–308.Google Scholar logo with link to Google Scholar
(2005). A unified model of language development, in Kroll, J. F. & Groot, A. M. B. D. (eds), Handbook of bilingualism: Psycholinguistic approaches. Oxford: Oxford University Press, 49–67.Google Scholar logo with link to Google Scholar
(2014). Item-based patterns in early syntactic development, in Herbst, T., Schmid, H. -J. & Faulhaber, S. (eds), Constructions Collocations Patterns Walter de Gruyter, 33–69.Google Scholar logo with link to Google Scholar
Menenti, L., Gierhan, S. M. E., Segaert, K. & Hagoort, P. (2011). Shared Language Overlap and Segregation of the Neuronal Infrastructure for Speaking and Listening Revealed by Functional MRI. Psychological Science, 22(9), 1173–1182. Google Scholar logo with link to Google Scholar
Rilling, J. K., Glasser, M. F., Preuss, T. M., Ma, X., Zhao, T., Hu, X. & Behrens, T. E. (2008). The evolution of the arcuate fasciculus revealed with comparative DTI. Nature Neuroscience, 11(4), 426–428. Google Scholar logo with link to Google Scholar
Sandler, W., Aronoff, M., Meir, I. & Padden, C. (2011). The gradual emergence of phonological form in a new language. Natural Language & Linguistic Theory. .Google Scholar logo with link to Google Scholar
Segaert, K., Menenti, L., Weber, K., Petersson, K. M. & Hagoort, P. (2012). Shared Syntax in Language Production and Language Comprehension – An fMRI Study. Cerebral Cortex, 22(7), 1662–1670. Google Scholar logo with link to Google Scholar
Steels, L. (2011). Modeling the cultural evolution of language. Physics of Life Reviews, 8(4), 339–356. Google Scholar logo with link to Google Scholar
Wray, A. (1998). Protolanguage as a holistic system for social interaction. Language & Communication, 181, 47–67. Google Scholar logo with link to Google Scholar
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Cited by five other publications

Arbib, Michael A.
2018. Computational challenges of evolving the language-ready brain. Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systems 19:1-2 ► pp. 7 ff. DOI logo
Arbib, Michael A.
2020. Computational challenges of evolving the language-ready brain. In How the Brain Got Language – Towards a New Road Map [Benjamins Current Topics, 112], ► pp. 7 ff. DOI logo
Arbib, Michael A., Francisco Aboitiz, Judith M. Burkart, Michael Corballis, Gino Coudé, Erin Hecht, Katja Liebal, Masako Myowa-Yamakoshi, James Pustejovsky, Shelby Putt, Federico Rossano, Anne E. Russon, P. Thomas Schoenemann, Uwe Seifert, Katerina Semendeferi, Chris Sinha, Dietrich Stout, Virginia Volterra, Sławomir Wacewicz & Benjamin Wilson
2018. The comparative neuroprimatology 2018 (CNP-2018) road map for research on How the Brain Got Language . Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systems 19:1-2 ► pp. 370 ff. DOI logo
Arbib, Michael A., Francisco Aboitiz, Judith M. Burkart, Michael Corballis, Gino Coudé, Erin Hecht, Katja Liebal, Masako Myowa-Yamakoshi, James Pustejovsky, Shelby Putt, Federico Rossano, Anne E. Russon, P. Thomas Schoenemann, Uwe Seifert, Katerina Semendeferi, Chris Sinha, Dietrich Stout, Virginia Volterra, Sławomir Wacewicz & Benjamin Wilson
2020. The comparative neuroprimatology 2018 (CNP-2018) road map for research on How the Brain Got Language . In How the Brain Got Language – Towards a New Road Map [Benjamins Current Topics, 112], ► pp. 370 ff. DOI logo
Gong, Tao, Lan Shuai & Yicheng Wu
2018. Extending research on language foundations and evolution. Physics of Life Reviews 26-27 ► pp. 184 ff. DOI logo

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