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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Vol. 20, Iss. 7 — Jul. 1, 2003
  • pp: 1253–1260

Coding of the contrasts in natural images by visual cortex (V1) neurons: a Bayesian approach

Mazviita Chirimuuta, Philip L. Clatworthy, and David J. Tolhurst  »View Author Affiliations


JOSA A, Vol. 20, Issue 7, pp. 1253-1260 (2003)
http://dx.doi.org/10.1364/JOSAA.20.001253


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Abstract

Individual V1 neurons respond dynamically over only limited ranges of stimulus contrasts, yet we can discriminate contrasts over a wide range. Different V1 neurons cover different parts of the contrast range, and the information they provide must be pooled somehow. We describe a probabilistic pooling model that shows that populations of neurons with contrast responses like those in cat and monkey V1 would most accurately code contrasts in the range actually found in natural scenes. The pooling equation is similar to Bayes’s equation; however, explicit inclusion of prior probabilities in the inference increases coding accuracy only slightly.

© 2003 Optical Society of America

OCIS Codes
(330.1800) Vision, color, and visual optics : Vision - contrast sensitivity
(330.4060) Vision, color, and visual optics : Vision modeling
(330.4270) Vision, color, and visual optics : Vision system neurophysiology

Citation
Mazviita Chirimuuta, Philip L. Clatworthy, and David J. Tolhurst, "Coding of the contrasts in natural images by visual cortex (V1) neurons: a Bayesian approach," J. Opt. Soc. Am. A 20, 1253-1260 (2003)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-20-7-1253

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