The idea that neurons might use stochastic resonance (SR) to take advantage of random signals has been extensively discussed in the literature. However, there are a few key …
HE Plesser, T Geisel - Physical Review E, 2001 - APS
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 …
Stochastic resonance holds much promise for the detection of weak signals in the presence of relatively loud noise. Following the discovery of nondynamical and of aperiodic stochastic …
We theoretically describe how weak signals may be efficiently transmitted throughout more than one frequency range in noisy excitable media by a sort of stochastic multiresonance …
Noise can assist neurons in the detection of weak signals via a mechanism known as stochastic resonance (SR). We demonstrate experimentally that SR-type effects can be …
K Loerincz, Z Gingl, LB Kiss - Physics Letters A, 1996 - Elsevier
After a decade of doubts, for the first time in the history of stochastic resonance (SR), we demonstrate that a simple stochastic resonator does greatly improve the signal-to-noise ratio …
Z Budrikis - Nature Reviews Physics, 2021 - nature.com
Forty years of stochastic resonance | Nature Reviews Physics Skip to main content Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To …
Biological neurons are good examples of a threshold device–this is why neural systems are in the focus when looking for realization of Stochastic Resonance (SR) and spatio-temporal …
Noise-induced firing is studied in two major classes of bursting neuron models in the absence of periodic input. In the biologically relevant subthreshold regime where no …