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A computational model of periodic-pattern-selective cells

  • P. Kruizinga
  • N. Petkov
Neuroscience
Part of the Lecture Notes in Computer Science book series (LNCS, volume 930)

Abstract

A computational model of so-called grating cells is proposed. These cells, found in areas V1 and V2 of the visual cortex of monkeys, respond strongly to bar gratings of a given orientation and periodicity but very weakly or not at all to single bars. This non-linear behavior is quite different from the spatial frequency filtering behavior exhibited by the other types of orientation selective cells. It is incorporated in the proposed model by using an AND-like non-linearity to combine the responses of simple cells and compute the activities of so-called grating subunits which are subsequently summed up. The parameters of the model are adjusted to reproduce the results measured by neurophysiologists with different visual stimuli. The proposed computational model of a grating cell is used to compute the collective activation of sets of such cells, referred to as cortical images, induced by natural visual stimuli. On the basis of the results of such simulations we speculate about the possible role of grating cells in the visual system and demonstrate the usefulness of grating cell operators for some computer vision tasks, such as automatic face recognition and document processing.

Keywords

Grating cells visual cortex computational model texture analysis face recognition document processing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • P. Kruizinga
    • 1
  • N. Petkov
    • 1
  1. 1.Dept. of Computing ScienceUniversity of GroningenAV GroningenThe Netherlands

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