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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...
This paper investigated propagation of firing rate in multi-layer feedforward network (FFN) based on FitzHugh-Nagumo (FHN) neuron model. It is found that the signal propagate in the multi-layer FFN almost linearity by synchronized firing. Noise and high-frequency stimuli can improve the linearity, especially for the low input rate. High frequency signal plays an important role in signal propagation...
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