Network effect on the enhancement of stochastic resonance in a randomly connected neural network

In this paper, we investigate the effects of the network amplification on stochastic resonance in a randomly connected neural network. The network consists of excitatory and inhibitory neurons with similar ratio as that in the mammalian neocortex and the axonal conduction delays between neurons are also considered. Numerical results elucidate that the resonance in the neural network is just the expression of some amplification of the field effects by the whole network rather than an expression of single neurons intrinsic dynamics.