Stochastic resonance in a model neuron with reset
Biological Physics
2009-10-30 v1 q-bio
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.
Keywords
Cite
@article{arxiv.physics/9611014,
title = {Stochastic resonance in a model neuron with reset},
author = {Hans E. Plesser and Shigeru Tanaka},
journal= {arXiv preprint arXiv:physics/9611014},
year = {2009}
}
Comments
13 pages, 5 eps figures; LaTeX, uses AMSmath, epsfig, elsart; to appear in Physics Letters A