Motivated by neuroscience discoveries during the last few years, many studies consider
pulse-coupled neural networks with spike-timing as an essential component in information …

It has been shown that oscillations can be generated by additive Gaussian white noise in a
recurrent Hodgkin-Huxley neuron model. Type 1 oscillation was induced with stochastic …

The time to first spike is an experimentally observed quantity in laboratory experiments. In
the auditory, somatic and visual sensory modalities, the times of first spikes in the …

We numerically investigate the influence of intrinsic channel noise on the dynamical
response of delay-coupling in neuronal systems. The stochastic dynamics of the spiking is …

Random pulses contribute to stochastic resonance in neuron models, whereas common
random pulses cause stochastic-synchronized excitation in uncoupled neuron models. We …

We examine the effects of stochastic input currents on the firing behavior of two excitable
neurons, coupled with fast excitatory synapses. In such cells (models), typified by the …

To any model of brain function, the variability of neuronal spike firing is a problem that needs
to be taken into account. Whereas the synaptic integration can be described in terms of the …

Many healthy and pathological brain rhythms, including beta and gamma rhythms and
essential tremor, are suspected to be induced by noise. This yields randomly occurring, brief …

We study the influence of noise on the transmission of temporal information by a leaky
integrate-and-fire neuron using the theory of shot noise. The model includes a finite number …

We study the influence of noise on the dynamics of a simple model of excitatory leaky
integrate–and–fire neurons in a diluted network. The stochastic process amounts to a …