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Optical information processing based on an associative-memory model of neural nets with thresholding and feedback

Psaltis, Demetri and Farhat, Nabil (1985) Optical information processing based on an associative-memory model of neural nets with thresholding and feedback. Optics Letters, 10 (2). pp. 98-100. ISSN 0146-9592. http://resolver.caltech.edu/CaltechAUTHORS:PSAol85

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Abstract

The remarkable collective computational properties of the Hopfield model for neural networks [Proc. Nat. Acad. Sci. USA 79, 2554 (1982)] are reviewed. These include recognition from partial input, robustness, and error-correction capability. Features of the model that make its optical implementation attractive are discussed, and specific optical implementation schemes are given.


Item Type:Article
Additional Information:© Copyright 1985 Optical Society of America Received July 9, 1984; accepted November 15, 1984 The authors thank John Hong and Yaser Abu-Mostafa for many helpful discussions on this subject.
Record Number:CaltechAUTHORS:PSAol85
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:PSAol85
Alternative URL:http://www.opticsinfobase.org/abstract.cfm?URI=ol-10-2-98
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:3265
Collection:CaltechAUTHORS
Deposited By: Archive Administrator
Deposited On:25 May 2006
Last Modified:26 Dec 2012 08:53

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