Multivariate Analysis of Dynamical Processes with applications in the Neurosciences

Bjoern Schelter, Linda Sommerlade, Bettina Platt, Andrea Plano, Marco Thiel, Jens Timmer

Research output: Contribution to conferenceUnpublished paperpeer-review

Abstract

Nowadays, data are recorded with increasing spatial and temporal resolution. Commonly these data are analyzed using univariate or bivariate approaches. Most of the analysis techniques assume stationarity of the underlying dynamical
processes. Here, we present an approach that is capable of analyzing multivariate data, the so-called renormalized partial directed coherence. It utilizes the concept of Granger causality and is applicable to non-stationary data. We discuss its abilities and limitations and demonstrate its usefulness in an application to sleep transitions in an animal model
Original languageEnglish
Publication statusPublished - 2011
EventIEEE Engineering in Medicine and Biology Society 2011 - Boston, United States
Duration: 30 Aug 20113 Sept 2011

Conference

ConferenceIEEE Engineering in Medicine and Biology Society 2011
Country/TerritoryUnited States
CityBoston
Period30/08/113/09/11

Keywords

  • EEG Engineering Medicine

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