Dynamic neural field with local inhibition
Identifieur interne : 006267 ( Main/Curation ); précédent : 006266; suivant : 006268Dynamic neural field with local inhibition
Auteurs : Nicolas P. Rougier [France]Source :
- Biological Cybernetics [ 0340-1200 ] ; 2006-03-01.
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Abstract
Abstract: A lateral-inhibition type neural field model with restricted connections is presented here and represents an experimental extension of the continuum neural field theory (CNFT) by suppression of the global inhibition. A modified CNFT equation is introduced and allows for a locally defined inhibition to spatially expand within the network and results in a global competition extending far beyond the range of local connections by virtue of diffusion of inhibition. The resulting model is able to attend to a moving stimulus in the presence of a very high level of noise, several distractors or a mixture of both.
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DOI: 10.1007/s00422-005-0034-8
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<term>Neural Inhibition (physiology)</term>
<term>Neural Networks (Computer)</term>
<term>Nonlinear Dynamics</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Dynamique non linéaire</term>
<term>Inhibition nerveuse (physiologie)</term>
<term>Modèles neurologiques</term>
<term>Réseau nerveux (physiologie)</term>
<term>Réseaux neuronaux (ordinateur)</term>
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<term>Réseau nerveux</term>
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<keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Nerve Net</term>
<term>Neural Inhibition</term>
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<front><div type="abstract" xml:lang="en">Abstract: A lateral-inhibition type neural field model with restricted connections is presented here and represents an experimental extension of the continuum neural field theory (CNFT) by suppression of the global inhibition. A modified CNFT equation is introduced and allows for a locally defined inhibition to spatially expand within the network and results in a global competition extending far beyond the range of local connections by virtue of diffusion of inhibition. The resulting model is able to attend to a moving stimulus in the presence of a very high level of noise, several distractors or a mixture of both.</div>
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