title: Direct or indirect? Graphical models for neural oscillators.
abstract: Univariate and bivariate time series analysis techniques have enabled new insights into neural processes. However, these techniques are not feasible to distinguish direct and indirect interrelations in multivariate systems. To this aim multivariate times series techniques are presented and investigated by means of simulated as well as physiological time series. Pitfalls and limitations of these techniques are discussed.
authors.affiliation: FDM, Freiburg Center for Data Analysis and Modeling, University of Freiburg, Eckerstr. 1, 79104 Freiburg, Germany. schelter@fdm.uni-freiburg.de
authors.forename: Björn
authors.initials: B
authors.lastname: Schelter
authors.forename: Matthias
authors.initials: M
authors.lastname: Winterhalder
authors.forename: Bernhard
authors.initials: B
authors.lastname: Hellwig
authors.forename: Brigitte
authors.initials: B
authors.lastname: Guschlbauer
authors.forename: Carl Hermann
authors.initials: CH
authors.lastname: Lücking
authors.forename: Jens
authors.initials: J
authors.lastname: Timmer
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004569:Electroencephalography; D004576:Electromyography; D020329:Essential Tremor / Q000503:physiopathology; D006801:Humans; D015225:Magnetoencephalography / Q000706:statistics & numerical data; D008959:Models, Neurological; D015233:Models, Statistical