title: Inferring coupling strength from event-related dynamics.
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 Rössler-type oscillators in nonchaotic regime.
authors.affiliation: Department of Neurophysiology, Nencki Institute of Experimental Biology, ul. Pasteura 3, 02-093 Warszawa, Poland. s.leski@nencki.gov.pl
authors.forename: Szymon
authors.initials: S
authors.lastname: Leski
authors.forename: Daniel K
authors.initials: DK
authors.lastname: Wójcik
mesh_terms: D002540:Cerebral Cortex / Q000502:physiology*; D003198:Computer Simulation; D004594:Electrophysiology / Q000379:methods; D005071:Evoked Potentials / Q000502:physiology*; D008954:Models, Biological; D017711:Nonlinear Dynamics; D009991:Oscillometry / Q000379:methods; D010507:Periodicity; D013788:Thalamus / Q000502:physiology*