Towards a fully parallel stochastic Hopfield neural network

A. Torralba, F. Colodro · 1993 IEEE International Symposium on Circuits and Systems · 2002

The authors present two digital circuits to implement a fully parallel stochastic Hopfield neural network (SHNN). In a parallel SHNN all the n /spl times/ n stochastic signals s/sub ij/ that pulse with probability proportional to the synapse inputs are simultaneously available. The proposed circuits calculate the function F/sub i/ that accumulates the number of positive (negative) stochastic input pulses to neuron i.>

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