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 …

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

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 have studied the stochastic behavior of Fitzhugh–Nagumo neuron-like model (FN)
induced by subthreshold external stimuli. Our analysis based on three standard measures …

Oscillations of the membrane potential are a prominent feature of several neurons in the
central and peripheral nervous system. Evidences exist that neurons combine intrinsic …

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 …

The effects of noise on neuronal dynamical systems are of much current interest. Here, we
investigate noise-induced changes in the rhythmic firing activity of single Hodgkin–Huxley …