Integrated Optical Implementation Of The Hopfield Neural Network Model

C. DeCusatis; P. Das; D . M. Litynski

doi:10.1117/12.947929

8 February 1988 Integrated Optical Implementation Of The Hopfield Neural Network Model

C. DeCusatis, P. Das, D . M. Litynski

Proceedings Volume 0963, Optical Computing '88; (1988) https://doi.org/10.1117/12.947929
Event: Optical Computing '88, 1988, Toulon, France

Abstract

An integrated optics implementation of content addressable associative memory based on the Hopfield Neural Network Model is proposed. The device uses frequency multiplexed surface acoustic waves (FM-SAW) to input the synaptic matrix, which may be stored as a volume hologram using photorefractive memory. Stored information may then be recovered in real time by applying a partial or distorted input to the system. This input is presented in the form of coherent optical pulses, which may be modulated by an external CCD camera. Phase conjugate mirrors are used to obtain the nonlinear thresholding inherent in the Hopfield model, and to provide feedback and gain.

Citation Download Citation

C. DeCusatis, P. Das, and D . M. Litynski "Integrated Optical Implementation Of The Hopfield Neural Network Model", Proc. SPIE 0963, Optical Computing '88, (8 February 1988); https://doi.org/10.1117/12.947929

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