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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Rougier, N.P. Dynamic neural field with local inhibition. Biol Cybern 94, 169–179 (2006). https://doi.org/10.1007/s00422-005-0034-8
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DOI: https://doi.org/10.1007/s00422-005-0034-8