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Stochastic Resonance in Neuron Models: Endogenous Stimulation Revisited

Hans E. Plesser·Theo Geisel
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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.

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Hans E. Plesser, Theo Geisel. 2001-01-05. Stochastic Resonance in Neuron Models: Endogenous Stimulation Revisited. https://doi.org/10.1103/physreve.63.033101

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