Interspike interval correlations in neuron models with adaptation and correlated noise.

ABSTRACT: The generation of neural action potentials (spikes) is random but nevertheless may result in a rich statistical structure of the spike sequence. In particular, contrary to the popular renewal assumption of theoreticians, the intervals between adjacent spikes are often correlated. Experimentally, different patterns of interspike-interval correlations have been observed and computational studies have identified spike-frequency adaptation and correlated noise as the two main mechanisms that can lead to such correlations. Analytical studies have focused on the single cases of either correlated (colored) noise or adaptation currents in combination with uncorrelated (white) noise. For low-pass filtered noise or adaptation, the serial correlation coefficient can be approximated as a single geomet

SUBMITTER: Ramlow L 

PROVIDER: S-EPMC8428727 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature