Abstract

A general all-optical implementation scheme for bipolar neural networks is presented. Bipolar operation is realized by exploiting two orthogonal light polarizations. A three-layer feed-forward bipolar network is demonstrated experimentally by using a liquid-crystal light valve for implementing an array of polarization-modulating neurons.

© 1991 Optical Society of America

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