Skip to Main content Skip to Navigation
Journal articles

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.
Document type :
Journal articles
Complete list of metadata
Contributor : Nicolas P. Rougier <>
Submitted on : Friday, September 16, 2005 - 3:38:40 PM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM
Long-term archiving on: : Thursday, April 1, 2010 - 10:26:54 PM


  • HAL Id : inria-00000244, version 1



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



Record views


Files downloads