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Towards a fully parallel stochastic Hopfield neural network

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2 Author(s)
Torralba, A. ; Dpto. de Ingenieria Electron., Seville Univ., Spain ; Colodro, F.

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

Published in:

Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on

Date of Conference:

3-6 May 1993

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