Dynamic neural field with local inhibition

  • Authors:
  • Nicolas P. Rougier

  • Affiliations:
  • Campus Scientifique, LORIA Laboratory, B.P. 239, 54506, Vandoeuvre-lès-Nancy Cedex, France

  • Venue:
  • Biological Cybernetics
  • Year:
  • 2006

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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.