Periodically stimulated sensory neurons typically exhibit a kind of “statistical phase locking”
to the stimulus: they tend to fire at a preferred phase of the stimulus cycle, but not at every …

The process whereby external or internal noise operates on a nonlinear, multistable system,
modulated by a weak periodic function in order to induce or facilitate switching events …

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 …

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

Here, we consider a noisy, bistable, single neuron model in the presence of periodic
external modulation. The modulation induces a correlated switching between states driven …

We describe the simplest system which shows stochastic resonance. Theoretical results for
white and (almost) arbitrarily coloured noise are presented. The new system has new …

Three examples of noisy biological dynamics modulated by a periodic signal are discussed.
A minimal neuron model driven by stochastic noise and small periodic force show a firing …

Stochastic resonance, a nonlinear phenomenon in which random noise optimizes a
system's response to a signal, has been postulated to provide a role for noise in information …

We have analyzed the phenomenon of stochastic resonance in a double well potential
driven by a colored non Gaussian noise. Using a path-integral approach we have obtained …

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 …