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Dynamic Neural Field with Local Inhibition

Nicolas P. Rougier 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
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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https://hal.inria.fr/inria-00000244
Contributor : Nicolas P. Rougier <>
Submitted on : Friday, September 16, 2005 - 3:38:40 PM
Last modification on : Friday, May 10, 2019 - 5:31:14 PM
Document(s) archivé(s) le : Thursday, April 1, 2010 - 10:26:54 PM

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  • HAL Id : inria-00000244, version 1

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Nicolas P. Rougier. Dynamic Neural Field with Local Inhibition. Biological Cybernetics (Modeling), Springer Verlag, 2006, 94 (3), pp.169-179. ⟨inria-00000244⟩

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