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Proceedings Paper

Optimal spatial distribution of photodetector array using information theory
Author(s): Eyal Shekel
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Paper Abstract

Information theory is used to predict an optimal spatial distribution of a given number of photodetectors. We compare our results with the known distribution in the human eye. The optimization takes into account eye movement which leads to different optimal arrays depending on the time scales of the visual information. When the visual data contains mixed time scales, maximum information flow is achieved by an array distribution consisting of both a large uniform low resolution region, and a smaller high resolution region, as in the human retina. Optimal ratios of areas and densities of these two regions are calculated as a function of the number of eye movements. The results lend support to the hypothesis that the retina is an information theoretically optimal processor.

Paper Details

Date Published: 1 July 1992
PDF: 9 pages
Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); doi: 10.1117/12.140087
Show Author Affiliations
Eyal Shekel, New York Univ. (Israel)


Published in SPIE Proceedings Vol. 1710:
Science of Artificial Neural Networks
Dennis W. Ruck, Editor(s)

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