Literature DB >> 11255568

On synchrony of weakly coupled neurons at low firing rate.

L Neltner1, D Hansel.   

Abstract

The dynamics of a pair of weakly interacting conductance-based neurons, firing at low frequency, nu, is investigated in the framework of the phase-reduction method. The stability of the antiphase and the in-phase locked state is studied. It is found that for a large class of conductance-based models, the antiphase state is stable (resp., unstable) for excitatory (resp., inhibitory) interactions if the synaptic time constant is above a critical value tau(c)(s), which scales as the absolute value of log nu when nu goes to zero.

Mesh:

Year:  2001        PMID: 11255568     DOI: 10.1162/089976601300014330

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  5 in total

1.  Synchronization of strongly coupled excitatory neurons: relating network behavior to biophysics.

Authors:  Corey D Acker; Nancy Kopell; John A White
Journal:  J Comput Neurosci       Date:  2003 Jul-Aug       Impact factor: 1.621

2.  Maximal variability of phase synchrony in cortical networks with neuronal avalanches.

Authors:  Hongdian Yang; Woodrow L Shew; Rajarshi Roy; Dietmar Plenz
Journal:  J Neurosci       Date:  2012-01-18       Impact factor: 6.167

3.  Cortical pyramidal cells as non-linear oscillators: experiment and spike-generation theory.

Authors:  Joshua C Brumberg; Boris S Gutkin
Journal:  Brain Res       Date:  2007-07-20       Impact factor: 3.252

4.  Spike width and frequency alter stability of phase-locking in electrically coupled neurons.

Authors:  Ramana Dodla; Charles J Wilson
Journal:  Biol Cybern       Date:  2013-04-17       Impact factor: 2.086

5.  Effect of sharp jumps at the edges of phase response curves on synchronization of electrically coupled neuronal oscillators.

Authors:  Ramana Dodla; Charles J Wilson
Journal:  PLoS One       Date:  2013-03-29       Impact factor: 3.240

  5 in total

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