Robustness and regularity of oscillations in neuronal populations

Xi Shen, Philippe De Wilde

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

We study a biologically plausible but computationally simplified integrate-and-fire neuronal model. Oscillatory activity is analyzed in the networks with and without self-connections. We perform a detailed scan of four major parameters that represent the properties of neurons and synapses: connection ratio, connection strengths, post-synaptic potential decay rate and soma's potential decay rate. It is observed that networks with different properties exhibit different periods and different patterns of synchrony. We find that generally these oscillations are robust against changes of parameters, meanwhile we also locate the parametric boundaries where oscillations break down. © 2006 Elsevier Ireland Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)127-136
Number of pages10
JournalBioSystems
Volume88
Issue number1-2
DOIs
Publication statusPublished - Mar 2007

Keywords

  • Integrate-and-fire model
  • Oscillations
  • Robustness

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