Sequential desynchronization in networks of spiking neurons with partial reset

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Christoph Kirst - , Max Planck Institute for Dynamics and Self-Organization, University of Göttingen (Author)
  • Theo Geisel - , Max Planck Institute for Dynamics and Self-Organization, University of Göttingen, Bernstein Center for Computational Neuroscience Göttingen (Author)
  • Marc Timme - , Max Planck Institute for Dynamics and Self-Organization, Bernstein Center for Computational Neuroscience Göttingen (Author)

Abstract

The response of a neuron to synaptic input strongly depends on whether or not the neuron has just emitted a spike. We propose a neuron model that after spike emission exhibits a partial response to residual input charges and study its collective network dynamics analytically. We uncover a desynchronization mechanism that causes a sequential desynchronization transition: In globally coupled neurons an increase in the strength of the partial response induces a sequence of bifurcations from states with large clusters of synchronously firing neurons, through states with smaller clusters to completely asynchronous spiking. We briefly discuss key consequences of this mechanism for more general networks of biophysical neurons.

Details

Original languageEnglish
Article number068101
JournalPhysical review letters
Volume102
Issue number6
Publication statusPublished - 9 Feb 2009
Peer-reviewedYes
Externally publishedYes

External IDs

ORCID /0000-0002-5956-3137/work/142242512

Keywords

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