Stochastic Resonance in Neuron Models: Endogenous Stimulation Revisited
arXiv:physics/0004075 · doi:10.1103/PhysRevE.63.033101
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.
Some typos fixed, esp. Eq. 15. Results and conclusions are not affected