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Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations

Olivier Ménard 1 Hervé Frezza-Buet 1 Frédéric Alexandre 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper presents a computational self-organizing model of multi-modal information, inspired from cortical maps. It shows how the organization in a map can be influenced by the same process occurring in other maps. We illustrate this approach on a phonetic - motor association, that shows that the organization of words can integrate motor constraints, as observed in humans.
Keywords : continuum neural field theory self-organized maps multi-modal
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https://hal.inria.fr/inria-00000634
Contributor : Olivier Menard <>
Submitted on : Thursday, November 10, 2005 - 1:03:31 PM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM

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Olivier Ménard, Hervé Frezza-Buet, Frédéric Alexandre. Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations. Stefan Wermter and Günther Palm and Mark Elshaw. Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience, 3575 (3575), Springer-Verlag, pp.144--161, 2005, Lecture Notes in Artificial Intelligence, 3-540-27440-5. ⟨10.1007/b139051⟩. ⟨inria-00000634⟩

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