Neuronal spike variability is a statistical property associated with the noise environment.
Considering a linearised Hodgkin–Huxley model, we investigate how large spike variability …

We studied the influence of noisy stimulation on the Hodgkin-Huxley neuron model. Rather
than examining the noise-related variability of the discharge times of the model–as has been …

Neural variability in the presence of noise has been studied mainly in resonator neurons,
such as Hodgkin-Huxley or FitzHugh-Nagumo models. Here we investigate this variability …

We investigated the effects of noise on periodic firing in the Hodgkin-Huxley nonlinear
system. With mean input current μ as a bifurcation parameter, a bifurcation to repetitive …

We study the stochastic dynamics of a Hodgkin-Huxley neuron model in a regime of
coexistent stable equilibrium and a limit cycle. In this regime, noise may suppress periodic …

We analyze the response of the Hodgkin–Huxley neuron to a large number of uncorrelated
stochastic inhibitory and excitatory post-synaptic spike trains. In order to clarify the various …

We investigate Hodgkin–Huxley neuron model with external Gaussian noise in the range of
parameters where it exhibits bistability of silent and firing states, and noise-induced bursts …

The neuron dynamics is highly susceptible to variations in its current input. In this work, we
study the dynamics of uncoupled and random coupled Hodgkin Huxley neurons under an …

Many neurons have epochs in which they fire action potentials in an approximately periodic
fashion. To see what effects noise of relatively small amplitude has on such repetitive activity …

In a Hodgkin-Huxley neuron model driven just above threshold, external noise can increase
both jitter and latency of the first spike, an effect called “noise delayed decay”(NDD). This …