Stimulus-response reliability of biological networks

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Scopus citations

Abstract

If a network of cells is repeatedly driven by the same sustained, complex signal, will it give the same response each time? A system whose response is reproducible across repeated trials is said to be reliable. reliability Reliability is of interest in, e.g., computational neuroscience because the degree to which a neuronal network is reliable constrains its ability to encode information via precise temporal patterns of spikes. This chapter reviews a body of work aimed at discovering network conditions and dynamical mechanisms that can affect the reliability of a network. A number of results are surveyed here, including a general condition for reliability and studies of specific mechanisms for reliable and unreliable behavior in concrete models. This work relies on qualitative arguments using random dynamical systems theory, in combination with systematic numerical simulations.

Original languageEnglish (US)
Title of host publicationNonautonomous Dynamical Systems in the Life Sciences
PublisherSpringer-Verlag
Pages135-161
Number of pages27
ISBN (Print)9783319030791
DOIs
StatePublished - 2013

Publication series

NameLecture Notes in Mathematics
Volume2102
ISSN (Print)0075-8434

Keywords

  • Coupled oscillators
  • Lyapunov exponents
  • Neuronal networks
  • Random dynamical systems
  • Reliability
  • Spike-time precision
  • SRB measures

ASJC Scopus subject areas

  • Algebra and Number Theory

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