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 conferencePaper

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 Sep 2011

Conference

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

Keywords

  • EEG Engineering Medicine

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  • Cite this

    Schelter, B., Sommerlade, L., Platt, B., Plano, A., Thiel, M., & Timmer, J. (2011). Multivariate Analysis of Dynamical Processes with applications in the Neurosciences. Paper presented at IEEE Engineering in Medicine and Biology Society 2011, Boston, United States.