Journal of Computational Neuroscience, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 19, 2024

Abstract We study the impact of bursts on spike statistics and neural signal transmission. propose a stochastic burst algorithm that is applied to burst-free train adds random number temporally-jittered spikes each spike. This simple ignores any possible stimulus-dependence bursting but allows relate spectra signal-transmission characteristics burst-endowed trains. By averaging over various statistical ensembles, we find frequency-dependent factor connecting linear also second-order susceptibility trains with without bursts. The relation between more complicated: besides multiplicative it involves an additional offset. confirm these relations for (burst-free) integrate-and-fire neuron identify frequency ranges in which transmission boosted or diminished by bursting. then consider bursty electroreceptor afferents weakly electric fish approach role as follows. compare spectral (i) removed (ii) endowed according our algorithm. Significant features are explained signal-independent algorithm, e.g. burst-induced boosting nonlinear response. A difference seen information transfer original train. Our thus helpful different effects

Language: Английский