Abstract
Stochastic resonance (SR) is an effect caused on non-linear systems and enhances signal sensitively through an adequate external noise. Since it is well known that non-linear neuron models have a capability to generate SR, we comprise a parallel network of artificial neurons formulated by Hodgkin-Huxley. A series of numerical simulations were performed through changing number of neurons 1 to 1000. Calculated results demonstrated that increase of neuron number enlarges region of noise intensity capable of causing SR and that noise having independent noise history enhances SR effect.
