| Literature DB >> 7811645 |
S J Schiff1, T Sauer, T Chang.
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.Mesh:
Year: 1994 PMID: 7811645 DOI: 10.1007/bf02691329
Source DB: PubMed Journal: Integr Physiol Behav Sci ISSN: 1053-881X