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An outer-product associative memory system is proposed which optically implements the learning of the association weights as well as the execution of the association operation. The simplest implementation is based on the concept of the correlation matrix associative memory. The system is based on the use of two 1-D PRIMO SLM layers as the input modulator, coupled with a liquid crystal light valve which represents the Tij matrix. The system can learn the relative importance of the input vectors by self-adjusting the weights of the Tij elements. The learning as well as the association with a given input are performed optically.
© 1988 Optical Society of America
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