Towards word semantics from multi-modal acoustico-motor integration: application of the bijama model to the setting of action-dependant phonetic representations

  • Authors:
  • Olivier Ménard;Frédéric Alexandre;Hervé Frezza-Buet

  • Affiliations:
  • Supelec, Metz, France;Loria, Vandoeuvre-ls-Nancy, France;Supelec, Metz, France

  • Venue:
  • Biomimetic Neural Learning for Intelligent Robots
  • Year:
  • 2005

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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.