In recent years, it has been argued and experimentally shown that ion channel noise in
neurons can have profound effects on the neuron's dynamical behavior. Most profoundly …

The response of the Hodgkin-Huxley neuronal model subjected to stochastic uncorrelated
spike trains originating from a large number of inhibitory and excitatory post-synaptic …

While it is widely accepted that information is encoded in neurons via action potentials or
spikes, it is far less understood what specific features of spiking contain encoded …

The paper considers an excitable Hodgkin-Huxley system subjected to a strong periodic
forcing in the presence of random noise. The influence of the forcing frequency on the …

We examine the effects of stochastic input currents on the firing behaviour of two coupled
Type 1 or Type 2 neurons. In Hodgkin–Huxley model neurons with standard parameters …

The irregular firing of a cortical neuron is thought to result from a highly fluctuating drive that
is generated by the balance of excitatory and inhibitory synaptic inputs. A previous study …

We demonstrate that a realistic neuron model expressed by the Hodgkin-Huxley equations
shows a stochastic resonance phenomenon, by computing cross-correlation between input …

We study numerically nonlinear responses of a periodically forced Hodgkin-Huxley neuron.
The coherence of the system in the absence of external noise, namely, the “intrinsic …

The channel noise that stems from the stochastic nature of the ion channel has important
effects on neuronal dynamics. In this context, we investigate the effect of the sub-threshold …

Irregular firing of neurons can be modeled as a stochastic process. Here we study the
perfect integrate-and-fire neuron driven by dichotomous noise, a Markovian process that …