Computational challenges of evolving the language-ready brain

Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 19 (1-2):7-21 (2018)
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Abstract

Computational modeling of the macaque brain grounds hypotheses on the brain of LCA-m. Elaborations thereof provide a brain model for LCA-c. The Mirror System Hypothesis charts further steps via imitation and pantomime to protosign and protolanguage on the path to a "language-ready brain" in Homo sapiens, with the path to speech being indirect. The material poses new challenges for both experimentation and modeling.

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10.1075/is.17029.arb

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Citations of this work

Computational challenges of evolving the language-ready brain.Michael A. Arbib - 2018 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 19 (1-2):7-21.

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References found in this work

Primate Cognition.Amanda Seed & Michael Tomasello - 2010 - Topics in Cognitive Science 2 (3):407-419.
Neurolinguistics must be computational.Michael A. Arbib & David Caplan - 1979 - Behavioral and Brain Sciences 2 (3):449-460.
Learning by imitation: A hierarchical approach.Richard W. Byrne & Anne E. Russon - 1998 - Behavioral and Brain Sciences 21 (5):667-684.
Neural expectations: A possible evolutionary path from manual skills to language.Michael A. Arbib & Giacomo Rizzolatti - forthcoming - Communication and Cognition: An Interdisciplinary Quarterly Journal.

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