Synaptic model for spontaneous activity in developing networks

Alexander Lerchner, J. Rinzel

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Spontaneous rhythmic activity occurs in many developing neural networks. The activity in these hyperexcitable networks is comprised of recurring "episodes" consisting of "cycles" of high activity that alternate with "silent phases" with little or no activity. We introduce a new model of synaptic dynamics that takes into account that only a fraction of the vesicles stored in a synaptic terminal is readily available for release. We show that our model can reproduce spontaneous rhythmic activity with the same general features as observed in experiments, including a positive correlation between episode length and length of the preceding silent phase.
Original languageEnglish
JournalNeurocomputing
Volume65
Pages (from-to)777-782
ISSN0925-2312
Publication statusPublished - 2005

Keywords

  • synaptic vesicle pools
  • synapse model
  • hyperexcitable network

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