Stochastic resonance for the superimposed periodic pulse train

Stochastic Resonance in a coupled FitzHugh-Nagumo equation is investigated. The optimal noise intensity and the optimal input frequency, which maximize the signal to noise ratio of the output signal, are studied numerically, and their dependence on system parameters and connection coefficients is examined. It is found that a network composed of six elements can separate a superimposed periodic pulse train by controlling the noise intensity.

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