Discriminating deterministic versus stochastic dynamics in neuronal activity

Steven J. Schiff, Tim Sauer, Taeun Chang

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

An approach to discriminating deterministic versus stochastic dynamics from neuronal data is presented. Direct tests for determinism are emphasized, as well as using time series with clear physical correlates measured from small ensembles of neurons. Surrogate data are used to provide null hypotheses that the dynamics in our data could be accounted for by linear stochastic systems. Algorithms are given in full, and the analysis of an experimental example is given.

Original languageEnglish (US)
Pages (from-to)246-261
Number of pages16
JournalIntegrative Physiological and Behavioral Science
Volume29
Issue number3
DOIs
StatePublished - Jul 1994

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)
  • Neuropsychology and Physiological Psychology

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