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Numerical and distributed mechanisms of motor anticipation

Identifieur interne : 003D78 ( Main/Exploration ); précédent : 003D77; suivant : 003D79

Numerical and distributed mechanisms of motor anticipation

Auteurs : Jérémy Fix [France]

Source :

RBID : Hal:tel-00336194

Descripteurs français

English descriptors

Abstract

This thesis belongs to the computational neuroscience domain in which we aim at understanding complex cognitive functions with computer simulations built on the current knowledge of the brain. The proposed models and simulations are built on the paradigm of dynamic neural fields, that we use in order to study in which way complex congitive capabilities can be the emergent result of the interaction of elementary units.

In this thesis, we are interested in the modelisation of visual attention, with and without eye movements. To guide the development of these models, we propose in the first part a review of the current psychological and physiological data on visual attention, before proposing a computational model of visual attention without saccadic eye movement. Then, we study in the second part the way we can integrate saccadic eye movements in our models based on the current anatomical and physiological data on the oculomotor control in the primate. The performances of the different proposed mechanisms are evaluated by simulating visual search tasks with saccadic eye movements.

This work also makes us able to study a computational paradigm that relies on distributed, asynchronous, numerical and adaptive computation which permits to consider further developments of the proposed mechanisms on parallel architectures.

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Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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<div type="abstract" xml:lang="en">This thesis belongs to the computational neuroscience domain in which we aim at understanding complex cognitive functions with computer simulations built on the current knowledge of the brain. The proposed models and simulations are built on the paradigm of dynamic neural fields, that we use in order to study in which way complex congitive capabilities can be the emergent result of the interaction of elementary units.

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