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Electronic Implementation of Associative Memory Based on Neural Network Models

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3 Author(s)

An electronic embodiment of a neural network based associative memory in the form of a binary connection matrix is described. The nature of false memory errors, their effect on the information storage capacity of binary connection matrix memories, and a novel technique to eliminate such errors with the help of asymmetrical extra connections are discussed. The stability of the matrix memory system incorporating a unique local inhibition scheme is analyzed in terms of local minimization of an energy function. The memory's stability, dynamic behavior, and recall capability are investigated using a 32-"neuron" electronic neural network memory with a 1024-programmable binary connection matrix.

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IEEE Transactions on Systems, Man, and Cybernetics  (Volume:17 ,  Issue: 2 )