Two digital circuits for a fully parallel stochastic neural network

  • Authors:
  • A. Torralba;F. Colodro;E. Ibanez;L. G. Franquelo

  • Affiliations:
  • Dpto. de Ingenieria Electron., Escuela Superior de Ingenieros, Seville;-;-;-

  • Venue:
  • IEEE Transactions on Neural Networks
  • Year:
  • 1995

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Abstract

This paper presents two digital circuits that allow the implementation of a fully parallel stochastic Hopfield neural network (SHNN). In a parallel SHNN with n neurons, the n*n stochastic signals s ij pulse with probability which are proportional to the synapse inputs, are simultaneously available. The proposed circuits calculate the summation of the stochastic input pulses to neuron i(Fi=Σj sij). The resulting network achieves considerable speed up with respect to the previous network