Stochastic resonance: When does it neuronal models? not occur in Page 1 6 July 1998
PHYSICS LETTERS A ELSWIER Physics Letters A 243 (1998) 351-359 Stochastic …

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 …

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 …

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 …

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 …