A computational neuronal model for hemispheric specialization - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2004

A computational neuronal model for hemispheric specialization

Frédéric Alexandre

Résumé

Data from neurosciences can be exploited by computer sciences to explore new models of information processing. We propose to study here hemispheric specialization and its possible underlying neuronal mechanisms. More particularly, these investigations elaborate a simple dichotomy of information processing, from parallel and spatial to sequential and temporal processing, of which we propose a neuronal implementation, based on neurobiological considerations. This is illustrated by an application, also corresponding to a task performed by human subjects in functional imaging. The usefulness of such artificial perception mechanisms for biologically-inspired robotics is also discussed.
Fichier principal
Vignette du fichier
A04-R-157.pdf (325.81 Ko) Télécharger le fichier

Dates et versions

inria-00099880 , version 1 (26-09-2006)

Identifiants

  • HAL Id : inria-00099880 , version 1

Citer

Frédéric Alexandre. A computational neuronal model for hemispheric specialization. International Conference on Mathematical Biology and Ecology - MABE'04, 2004, Corfu, Greece, 7 p. ⟨inria-00099880⟩
107 Consultations
68 Téléchargements

Partager

Gmail Facebook X LinkedIn More