Abstract
We propose an approach for inferring strength of coupling between two systems from their transient dynamics. This is of vital importance in cases where most information is carried by the transients, for instance, in evoked potentials measured commonly in electrophysiology. We show viability of our approach using nonlinear and linear measures of synchronization on a population model of thalamocortical loop and on a system of two coupled Rossler-type oscillators in nonchaotic regime.
Highlights
Whenever coherent actions of two physical systems are observed, one may wonder what is the nature of their interactions
Eighteenth Annual Computational Neuroscience Meeting: CNS*2009 Don H Johnson Meeting abstracts – A single PDF containing all abstracts in this Supplement is available here. http://www.biomedcentral.com/content/pdf/1471-2202-10-S1-info.pdf
Nonlinear interdependence [1] was devised as a measure of the coupling strength for stationary systems, sensitive to the direction of the interaction
Summary
Whenever coherent actions of two physical systems are observed, one may wonder what is the nature of their interactions. Inferring coupling strength from event-related dynamics Szymon Łęski* and Daniel K Wójcik Open Access from Eighteenth Annual Computational Neuroscience Meeting: CNS*2009 Berlin, Germany. Published: 13 July 2009 BMC Neuroscience 2009, 10(Suppl 1):P242 doi:10.1186/1471-2202-10-S1-P242 Eighteenth Annual Computational Neuroscience Meeting: CNS*2009 Don H Johnson Meeting abstracts – A single PDF containing all abstracts in this Supplement is available here. http://www.biomedcentral.com/content/pdf/1471-2202-10-S1-info.pdf
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