Biological neurons receive multiple noisy oscillatory signals, and their dynamical response
to the superposition of these signals is of fundamental importance for information processing …

Stochastic resonance has recently received considerable attention demonstrating that noise
can play a constructive role in signal processing. We investigate the effects of input noise on …

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 …

Two recently suggested mechanisms for the neuronal encoding of sensory information
involving the effect of stochastic resonance with aperiodic time-varying inputs are …

Aperiodic stochastic resonance (ASR) is a phenomenon in which the response of a
nonlinear system to a subthreshold information-bearing signal is optimized by the presence …

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 …

Despite intrinsic noise sources, neurons can generate action potentials with remarkable
reliability. This reliability is influenced by the characteristics of sensory or synaptic inputs …

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 …

Noise is an inherent part of neuronal dynamics, and thus of the brain. It can be observed in
neuronal activity at different spatiotemporal scales, including in neuronal membrane …

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 …