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Proceedings Paper

Implementations Of Neural Networks Using Photoactivated Conducting Biological Materials
Author(s): Clark Mobarry; Aaron Lewis
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Paper Abstract

A new implementation of the Hopfield model for neural networks using photoactivated electrically-conducting biological materials is introduced. This implementation allows rapid electrical reprogramming of the network. These neural networks show exciting promise for content addressable memories, image processing, and constrained optimization problems.

Paper Details

Date Published: 8 January 1987
PDF: 6 pages
Proc. SPIE 0700, 1986 Intl Optical Computing Conf, (8 January 1987); doi: 10.1117/12.936995
Show Author Affiliations
Clark Mobarry, Cornell University (United States)
Aaron Lewis, Cornell University (United States)

Published in SPIE Proceedings Vol. 0700:
1986 Intl Optical Computing Conf
Asher A. Friesem; Emanuel Marom; Joseph Shamir, Editor(s)

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