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Published May 15, 1985 | public
Journal Article Open

Optical implementation of the Hopfield model


Optical implementation of content addressable associative memory based on the Hopfield model for neural networks and on the addition of nonlinear iterative feedback to a vector-matrix multiplier is described. Numerical and experimental results presented show that the approach is capable of introducing accuracy and robustness to optical processing while maintaining the traditional advantages of optics, namely, parallelism and massive interconnection capability. Moreover a potentially useful link between neural processing and optics that can be of interest in pattern recognition and machine vision is established.

Additional Information

© 1985 Optical Society of America Received 24 December 1984. The work described in this paper was performed while one of the authors, N.F., was on scholarly leave at the California Institute of Technology. This author wishes to express his appreciation to CIT and the University of Pennsylvania for facilitating his sabbatical leave. The work was supported in part by the Army Research Office and in part by the Air Force Office of Scientific Research. The subject matter of this paper is based on a paper presented at the OSA Annual Meeting, San Diego, Oct. 1984.


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