Stochastic leaky integrate-and-fire models are popular due to their simplicity and statistical
tractability. They have been widely applied to gain understanding of the underlying …

Stochastic leaky integrate-and-fire (LIF) neuronal models are common theoretical tools for
studying properties of real neuronal systems. Experimental data of frequently sampled …

Electrophysiological experiments and modeling studies have shown that after
hyperpolarization regulates the discharge of lumbar motoneurons in anesthetized cats and …

This article presents a new theoretical framework to consider the dynamics of a stochastic
spiking neuron model with general membrane response to input spike. We assume that the …

Five parameters of one of the most common neuronal models, the diffusion leaky integrate-
and-fire model, also known as the Ornstein-Uhlenbeck neuronal model, were estimated on …

Analytical expressions are put forward to investigate the forced spiking activity of abstract
neuron models such as the driven leaky integrate-and-fire model. The method is valid in a …

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 …

Characterizing the spiking statistics of neurons receiving noisy synaptic input is a central
problem in computational neuroscience. Monte Carlo approaches to this problem are …

Multidimensional stochastic integrate-and-fire (IF) models are a standard spike-generator
model in studies of firing variability, neural information transmission, and neural network …

Firing-rate models provide a practical tool for studying the dynamics of trial-or population-
averaged neuronal signals. A wealth of theoretical and experimental studies has been …