The Fano factor, defined as the variance-to-mean ratio of spike counts in a time window, is
often used to measure the variability of neuronal spike trains. However, despite its …

Stimulus presentation is believed to quench neural response variability as measured by
fano-factor (FF). However, the relative contributions of within-trial spike irregularity and trial …

The electric discharge activity of neurons is composed of stereotyped events called action
potentials or spikes. The exact timing of spikes under identical external conditions may vary …

A novel measure of neural spike train randomness, an entropy factor, is proposed. It is
based on the Shannon entropy of the number of spikes in a time window and can be seen …

We take an adaptive leaky integrate-and-fire neuron model to explore the effect of non-
Poisson neurotransmitter on stochastic resonance and its signal-to-noise ratio (SNR) gain …

In this paper we present a study on random processes consisting of delta pulses
characterized by strongly super-Poisson statistics and calculate its spectral density. We …

A study of nonstationary processes that are integrals of stationary random sequences of
delta pulses is presented. An integrated renewal process can be represented as the sum of …

In this paper, we study analytically the impact of an inhibitory autapse on neuronal activity. In
order to do this, we formulate conditions on a set of non-adaptive spiking neuron models …

With the popularity of online-shopping, more and more delivery packages have led to
stacking at sorting centers. Robotic detection can improve sorting efficiency. Standard …

Heartbeat dynamics have been long studied in understanding the cardiovascular and
autonomic nervous systems. Traditional methods use windowed time averaging in order to …