Nerve cells in the brain generate sequences of action potentials with a complex statistics.
Theoretical attempts to understand this statistics were largely limited to the case of a …

In this paper, we report a novel effect of a particular kind of non-Gaussian noise (NGN),
especially its deviation from Gaussian noise, on the spiking activity in a deterministic …

Spiking and bursting patterns of neurons are characterized by a high degree of variability. A
single neuron can demonstrate endogenously various bursting patterns, changing in …

The generation and synchronization of bursts are studied in intrinsically spiking neurons due
to stimulation with random intracellular calcium fluctuations. It is demonstrated that …

We studied the effects of non-Markovian power-law voltage dependent conductances on the
generation of action potentials and spiking patterns in a Hodgkin-Huxley model. To …

We study the dynamics of randomly connected excitatory networks of excitable spike-
response neuron models. Large networks can exhibit a nonmonotonic collective response to …

Ion shot noise, the noise associated to the random passage of ions across the cell
membrane, is studied by means of a stochastic model based on the Hodgkin–Huxley …

Abstract Using the Morris-Lecar model neuron with a type II parameter set and K+-channel
noise, we investigate the interspike interval distribution as increasing levels of applied …

Neuronal oscillators engage into quasiperiodic or phase locked discharges when driven by
a weak periodic signal. These responses contrast with those evoked by weak aperiodic …

Synaptic noise due to intense network activity can have a significant impact on the
electrophysiological properties of individual neurons. This is the case for the cerebral cortex …