Stochastic resonance in a model neuron with reset

Abstract

The response of a noisy integrate-and-fire neuron with reset to periodic input is investigated. We numerically obtain the first-passage-time density of the pertaining Ornstein-Uhlenbeck process and show how the power spectral density of the resulting spike train can be determined via Fourier transform. The neuron's output clearly exhibits stochastic resonance.

13 pages, 5 eps figures; LaTeX, uses AMSmath, epsfig, elsart; to appear in Physics Letters A

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