Dynamic neural field with local inhibition

Nicolas P. Rougier
Biol Cybern. 2005-12-10; 94(3): 169-179
DOI: 10.1007/s00422-005-0034-8

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1. Biol Cybern. 2006 Mar;94(3):169-79. Epub 2005 Dec 10.

Dynamic neural field with local inhibition.

Rougier NP(1).

Author information:
(1)LORIA Laboratory, Campus Scientifique, B.P. 239, 54506, Vandoeuvre-lès-Nancy
Cedex, France.

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.

DOI: 10.1007/s00422-005-0034-8
PMID: 16341875 [Indexed for MEDLINE]

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