A model for the economical encoding of the visual image in cerebral cortex.

Abstract:

:We propose a model for the first stage of the cortical transformation of the visual image based on the principle that the cortex encodes the information with the minimum number of channels mathematically needed. We restrict our model to be consistent with the data on size adaptations, the known relationships of acuity and the inverse of magnification factor with eccentricity, and the electrophysiological findings on the physiological uniformity of the striate cortex. Assuming that each hypercolumn analyzes a limited spatial domain, we apply the sampling theorem to show that only 16 channels, composed of 4 sizes, are needed for dimension. The extension to 2 dimensions leads to a possible scheme for the number, spacing, and orientational disposition of the elements, together with predictions about the number of inputs from the eyes and the total number of hypercolumns. Since all these predictions are consistent with physical and neural estimates, we conclude that the cortex may analyze the image along the lines we suggest.

journal_name

Biol Cybern

journal_title

Biological cybernetics

authors

Sakitt B,Barlow HB

doi

10.1007/BF00336972

subject

Has Abstract

pub_date

1982-01-01 00:00:00

pages

97-108

issue

2

eissn

0340-1200

issn

1432-0770

journal_volume

43

pub_type

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