Simple cell response properties imply receptive field structure

Balanced Gabor and/or bandlimited field functions

Davis Cope, Barbara Blakeslee, Mark McCourt

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The classical receptive fields of simple cells in mammalian primary visual cortex demonstrate three cardinal response properties: (1) they do not respond to stimuli that are spatially homogeneous; (2) they respond best to stimuli in a preferred orientation (direction); and (3) they do not respond to stimuli in other, nonpreferred orientations (directions). We refer to these as the balanced field property, the maximum response direction property, and the zero response direction property, respectively. These empirically determined response properties are used to derive a complete characterization of elementary receptive field functions defined as products of a circularly symmetric weight function and a simple periodic carrier. Two disjoint classes of elementary receptive field functions result: the balanced Gabor class, a generalization of the traditional Gabor filter, and a band- limited class whose Fourier transforms have compact support (i.e., are zero valued outside of a bounded range). The detailed specification of these two classes of receptive field functions from empirically based postulates may prove useful to neurophysiologists seeking to test alternative theories of simple cell receptive field structure and to computational neuroscientists seeking basis functions with which to model human vision.

Original languageEnglish (US)
Pages (from-to)2067-2092
Number of pages26
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume26
Issue number9
DOIs
StatePublished - Sep 1 2009

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stimuli
cells
Gabor filters
cortexes
axioms
specifications
Fourier transforms
Specifications
Direction compound
products

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Computer Vision and Pattern Recognition

Cite this

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