We analyze the effect of synaptic noise on the dynamics of the FitzHugh–Nagumo (FHN)
neuron model. In our deterministic parameter regime, a limit cycle solution cannot emerge …

This study investigates the possibility of using exogenous noise to restore the processing
performances of neuronal systems where the endogenous noise is reduced due to the …

We investigate inverse stochastic resonance (ISR), a recently reported phenomenon in
which the spiking activity of a Hodgkin-Huxley model neuron subject to external noise …

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

Noise—random disturbances of signals—poses a fundamental problem for information
processing and affects all aspects of nervous-system function. However, the nature, amount …

The concept of resonance in nonlinear systems is crucial and traditionally refers to a specific
realization of maximum response provoked by a particular external perturbation. Depending …

Transcranial random noise stimulation (tRNS) over cortical areas has been shown to acutely
improve performance in sensory detection tasks. One explanation for this behavioral effect is …

Random noise enhances the detectability of weak signals in nonlinear systems, a
phenomenon known as stochastic resonance (SR). Though counterintuitive at first, SR has …

Stochastic resonance (SR) is a phenomenon in which a certain amount of random noise
added to a weak subthreshold stimulus can enhance signal detectability. It is unknown how …

The signal detection ability of nervous system is highly associated with nonlinear and
collective behaviors in neuronal medium. Neuronal noise, which occurs as natural …