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Partial phase synchronization of neural populations due to random Poisson inputs.

Published on Aug 1, 2008in Journal of Computational Neuroscience1.568
· DOI :10.1007/s10827-007-0069-z
Per Danzl5
Estimated H-index: 5
(UC: University of California),
Robert Hansen1
Estimated H-index: 1
(UC: University of California)
+ 1 AuthorsJeff Moehlis28
Estimated H-index: 28
(UC: University of California)
Abstract
We show that populations of identical uncoupled neurons exhibit partial phase synchronization when stimulated with independent, random unidirectional current spikes with interspike time intervals drawn from a Poisson distribution. We characterize this partial synchronization using the phase distribution of the population, and consider analytical approximations and numerical simulations of phase-reduced models and the corresponding conductance-based models of typical Type I (Hindmarsh–Rose) and Type II (Hodgkin–Huxley) neurons, showing quantitatively how the extent of the partial phase synchronization depends on the magnitude and mean interspike frequency of the stimulus. Furthermore, we present several simple examples that disprove the notion that phase synchrony must be strongly related to spike synchrony. Instead, the importance of partial phase synchrony is shown to lie in its influence on the response of the population to stimulation, which we illustrate using first spike time histograms.
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