Stimulus-response reliability of biological networks

Research output: Contribution to journalArticle

2 Citations (Scopus)

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)
Pages (from-to)135-161
Number of pages27
JournalLecture Notes in Mathematics
Volume2102
DOIs
StatePublished - 2013

Fingerprint

Biological Networks
Computational Neuroscience
Random Dynamical Systems
Neuronal Network
Systems Theory
Spike
Response Time
Numerical Simulation
Cell
Model

Keywords

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

ASJC Scopus subject areas

  • Algebra and Number Theory

Cite this

Stimulus-response reliability of biological networks. / Lin, Kevin.

In: Lecture Notes in Mathematics, Vol. 2102, 2013, p. 135-161.

Research output: Contribution to journalArticle

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