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 examine the influence of the noise correlation on aperiodic stochastic resonance. To this
end, we compute the discharge rate of a FitzHugh-Nagumo neuron model in response to a …

Biological neurons are nonlinear „ie, threshold… devices. Therefore neural systems are in
the focus when looking for realizations of stochastic resonance „SR… or spatiotemporal …

Noise can assist neurons in the detection of weak signals via a mechanism known as
stochastic resonance (SR). In a previous study [Phys. Lett. A 243, 281 (1998)], we showed …

Stochastic resonance is a phenomenon in which noise enhances the response of a system
to an input signal. The brain is an example of a system that has to detect and transmit …

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 …

We show that the conventional stochastic resonance (SR) effect for aperiodic signals in a
model neuron can be enhanced by modulating the intensity of the input noise (which could …

Stochastic resonance (SR) is said to be observed when the presence of noise in a nonlinear
system enables an output signal from the system to better represent some feature of an input …

The aim of this paper is to explore the phenomenon of aperiodic stochastic resonance in
neural systems with colored noise. For nonlinear dynamical systems driven by Gaussian …

Objective: To review the stochastic resonance phenomena observed in sensory systems
and to describe how a random process (noise') added to a subthreshold stimulus can …