Two digital circuits for a fully parallel stochastic neural network
A. Torralba, F. Colodro, E. Ibáñez, Leopoldo G. Franquelo · IEEE Transactions on Neural Networks · 1995
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(F(i)=Sigma(j) s(ij)). The resulting network achieves considerable speed up with respect to the previous network.