Topological target patterns and population oscillations in anetwork with random gap junctional coupling

Timothy J. Lewis, John Rinzel

Research output: Contribution to journalArticle

Abstract

Recent evidence suggests that electrical coupling could play a role in generating oscillatory behavior in networks of neurons, however, exact mechanisms have not been identified. Using a cellular automata model, we recently showed that a self-organizing process can generate regular population oscillations in a network with random spontaneous activity and random gap junction-like coupling. The network activity underlying the oscillations is topologically similar to target-pattern activity. Here, we show the process at work in a biophysical model. We demonstrate that population oscillations can also arise from reentrant behavior, but these oscillations look qualitatively different than those generated by the target-pattern-like activity.

Original languageEnglish (US)
Pages (from-to)763-768
Number of pages6
JournalNeurocomputing
Volume38-40
DOIs
StatePublished - Jun 1 2001

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Keywords

  • Gap junctions
  • Population osicillations
  • Random networks

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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