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Liquid-crystal light valves as thresholding elements in neural networks: basic device requirements

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Abstract

An important device for optoelectronic neural networks is a two-dimensional nonlinear thresholding element that is optically written and optically read. The liquid-crystal light valve is the only commercially available device that is suitable for this application. Three different types of valve are analyzed with respect to their suitability for two different types of neural network.

© 1994 Optical Society of America

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