These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Search MEDLINE/PubMed


  • Title: Revealing direction of coupling between neuronal oscillators from time series: phase dynamics modeling versus partial directed coherence.
    Author: Smirnov D, Schelter B, Winterhalder M, Timmer J.
    Journal: Chaos; 2007 Mar; 17(1):013111. PubMed ID: 17411247.
    Abstract:
    The problem of determining directional coupling between neuronal oscillators from their time series is addressed. We compare performance of the two well-established approaches: partial directed coherence and phase dynamics modeling. They represent linear and nonlinear time series analysis techniques, respectively. In numerical experiments, we found each of them to be applicable and superior under appropriate conditions: The latter technique is superior if the observed behavior is "closer" to limit-cycle dynamics, the former is better in cases that are closer to linear stochastic processes.
    [Abstract] [Full Text] [Related] [New Search]