Stochastic Resonance in Neuron Models: Endogenous Stimulation Revisited
Biological Physics
2009-11-06 v3 q-bio
Abstract
The paradigm of stochastic resonance (SR)---the idea that signal detection and transmission may benefit from noise---has met with great interest in both physics and the neurosciences. We investigate here the consequences of reducing the dynamics of a periodically driven neuron to a renewal process (stimulation with reset or endogenous stimulation). This greatly simplifies the mathematical analysis, but we show that stochastic resonance as reported earlier occurs in this model only as a consequence of the reduced dynamics.
Cite
@article{arxiv.physics/0004075,
title = {Stochastic Resonance in Neuron Models: Endogenous Stimulation Revisited},
author = {Hans E. Plesser and Theo Geisel},
journal= {arXiv preprint arXiv:physics/0004075},
year = {2009}
}
Comments
Some typos fixed, esp. Eq. 15. Results and conclusions are not affected