Two digital circuits for a fully parallel stochastic neural network

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=Σ_j s_ij). The resulting network achieves considerable speed up with respect to the previous network