Biological Cybernetics

, Volume 83, Issue 4, pp 313–325

Computational model of dot-pattern selective cells

  • P. Kruizinga
  • N. Petkov

DOI: 10.1007/s004220000153

Cite this article as:
Kruizinga, P. & Petkov, N. Biol Cybern (2000) 83: 313. doi:10.1007/s004220000153

Abstract.

A computational model of a dot-pattern selective neuron is proposed. This type of neuron is found in the inferotemporal cortex of monkeys. It responds strongly to groups of dots and spots of light intensity variation but very weakly or not at all to single dots and spots that are not part of a pattern. This non-linear behaviour is quite different from the spatial frequency filtering behaviour exhibited by other neurons that react to spot-shaped stimuli, such as neurons with centre-surround receptive field profiles found in the lateral geniculate nuclei and layer 4Cβ of V1. It is implemented in the proposed computational model by using an AND-type non-linearity to combine the responses of centre-surround cells. The proposed model is capable of explaining the results of neurophysiological experiments as well as certain psychophysical observations.

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • P. Kruizinga
    • 1
  • N. Petkov
    • 1
  1. 1.Institute of Mathematics and Computing Science, University of Groningen, P.O. Box 800, 9700 AV Groningen, The NetherlandsNL

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