Reliability of layered neural oscillator networks

Kevin K. Lin, Eric Shea-Brown, Lai-Sang Young

Research output: Contribution to journalArticle

Abstract

We study the reliability of large networks of pulse-coupled oscillators in response to fluctuating stimuli. Reliability means that a stimulus elicits essentially identical responses upon repeated presentations. We view the problem on two scales: neuronal reliability, which concerns the repeatability of spike times of individual oscillators embedded within a network, and pooled-response reliability, which addresses the repeatability of the total output from the network. We find that individual embedded oscillators can be reliable or unreliable depending on network conditions, whereas pooled responses of sufficiently large networks are mostly reliable.

Original languageEnglish (US)
Pages (from-to)239-247
Number of pages9
JournalCommunications in Mathematical Sciences
Volume7
Issue number1
StatePublished - 2009

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Repeatability
Coupled Oscillators
Spike
Output
Presentation

Keywords

  • Coupled oscillators
  • Neural network dynamics
  • Random dynamical systems

ASJC Scopus subject areas

  • Mathematics(all)
  • Applied Mathematics

Cite this

Reliability of layered neural oscillator networks. / Lin, Kevin K.; Shea-Brown, Eric; Young, Lai-Sang.

In: Communications in Mathematical Sciences, Vol. 7, No. 1, 2009, p. 239-247.

Research output: Contribution to journalArticle

Lin, Kevin K. ; Shea-Brown, Eric ; Young, Lai-Sang. / Reliability of layered neural oscillator networks. In: Communications in Mathematical Sciences. 2009 ; Vol. 7, No. 1. pp. 239-247.
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