We consider the transmission of spike trains in a conductance-based neuron model. A
superposition of periodic coherent trains impinge on the neuron, but in a number that is too …

We investigate the stochastic resonance in a FitzHugh-Nagumo neuronal model driven by
colored noise with a 1 f β spectrum (0≤ β≤ 2). A numerical simulation shows that the noise …

The dependence of four firing statistics in neuronal excitable systems is studied as a function
of noise intensity and sinusoidal forcing period. For a range of biologically relevant …

We study the effect of heterogeneous neuron and information transmission delay on
stochastic resonance of scale-free neuronal networks. For this purpose, we introduce the …

Neurons receive complex multiple signals from different regions in the biology system, and
the neuron information carried by the multi-frequency signals can be detected by the neural …

In some nonlinear dynamic systems, the addition of noise to a weak periodic signal can
increase the detectability of the signal, a phenomenon belonging to a class of noise-induced …

In certain dynamical systems, the addition of noise can assist the detection of a signal and
not degrade it as normally expected. This is possible via a phenomenon termed stochastic …

Recently, the phenomena of stochastic resonance (SR) have attracted much attention in the
studies of the excitable systems under inherent noise, in particular, nervous systems. We …

In recent years, several, apparently quite different, weak-noise–induced resonance
phenomena have been discovered. Here, we show that at least two of them, self-induced …

We present stochastic resonance observed in the dynamics of neuronal networks from
mammalian brain. Both sinusoidal signals and random noise were superimposed into an …