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Proceedings Paper

Photorefractive Crystals In Optical Neural Computers
Author(s): David Brady; Xiang-Guang Gu; Demetri Psaltis
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Paper Abstract

The storage capacity for neural interconnections in photorefractive crystals and the use of the dynamic nature of the photorefractive effect to train these interconnections are discussed. We describe an optical neural architecture which uses the characteristics of the photorefractive response to implement error driven learning and describe a modified perceptron algorithm which we have used to train this optical system.

Paper Details

Date Published: 3 May 1988
PDF: 5 pages
Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); doi: 10.1117/12.944112
Show Author Affiliations
David Brady, California Institute of Technology (United States)
Xiang-Guang Gu, California Institute of Technology (United States)
Demetri Psaltis, California Institute of Technology (United States)


Published in SPIE Proceedings Vol. 0882:
Neural Network Models for Optical Computing
Ravindra A. Athale; Joel Davis, Editor(s)

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