Literature DB >> 25828961

Phase synchronization of coupled bursting neurons and the generalized Kuramoto model.

F A S Ferrari1, R L Viana2, S R Lopes1, R Stoop3.   

Abstract

Bursting neurons fire rapid sequences of action potential spikes followed by a quiescent period. The basic dynamical mechanism of bursting is the slow currents that modulate a fast spiking activity caused by rapid ionic currents. Minimal models of bursting neurons must include both effects. We considered one of these models and its relation with a generalized Kuramoto model, thanks to the definition of a geometrical phase for bursting and a corresponding frequency. We considered neuronal networks with different connection topologies and investigated the transition from a non-synchronized to a partially phase-synchronized state as the coupling strength is varied. The numerically determined critical coupling strength value for this transition to occur is compared with theoretical results valid for the generalized Kuramoto model.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Keywords:  Bursting neurons; Complex networks; Kuramoto model; Neuronal networks; Rulkov model; Synchronization

Mesh:

Year:  2015        PMID: 25828961     DOI: 10.1016/j.neunet.2015.03.003

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  9 in total

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8.  A Model for Evolutionary Structural Plasticity and Synchronization of a Network of Neurons.

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Journal:  Sci Rep       Date:  2022-02-01       Impact factor: 4.379

  9 in total

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