title: Partial phase synchronization of neural populations due to random Poisson inputs.
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.
authors.affiliation: Department of Mechanical Engineering, University of California, Santa Barbara, CA 93106, USA. pdanzl@engineering.ucsb.edu
authors.forename: Per
authors.initials: P
authors.lastname: Danzl
authors.forename: Robert
authors.initials: R
authors.lastname: Hansen
authors.forename: Guillaume
authors.initials: G
authors.lastname: Bonnet
authors.forename: Jeff
authors.initials: J
authors.lastname: Moehlis
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000818:Animals; D003198:Computer Simulation; D003344:Cortical Synchronization; D003445:Crustacea / Q000502:physiology; D004558:Electric Stimulation / Q000379:methods*; D049834:Loligo / Q000502:physiology; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D016012:Poisson Distribution