title: Multiple spike-train analysis using mutual interval matrix.
abstract: The principal-component approach is applied to the analysis of sequences of neuronal action potentials (spike trains). Multiple spike trains are represented as a sequence of vectors of mutual interspike intervals and are considered to be part of the trajectory of a dynamic system. The trajectory matrix is decomposed into a number of 'basic spike patterns' and their relative magnitudes by singular-value decomposition. The representation provides a convenient framework for analysis of dynamic relations and cooperation between neurons in an observed network. Examples of applications to simulated and cerebellar data are presented.
authors.affiliation: Department of Neurophysiology, Nencki Institute of Experimental Biology, Warsaw, Poland.
authors.forename: P
authors.initials: P
authors.lastname: Kaluzny
authors.forename: R
authors.initials: R
authors.lastname: Tarnecki
authors.forename: W
authors.initials: W
authors.lastname: Zmyslowski
mesh_terms: D000200:Action Potentials; D000818:Animals; D002531:Cerebellum / Q000502:physiology*; D004594:Electrophysiology / Q000379:methods; D008433:Mathematics; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology; D009474:Neurons / Q000502:physiology*