Analyzing Spatio-Temporal Patterns of Complex Systems

Rapid progress in the field of noninvasive imaging methods in medicine will provide huge amounts of data sets in the nearest future. Especially imaging methods with high time resolutions like multivariate measurements of the electroencephalogram (EEG) or the magnetoencephalogram (MEG) will allow for a detailed documentation of spatio-temporal processes in biological systems. Therefore, it is of extreme importance to develop methods which allow for a characterization and classification of spatio-temporal processes with special emphasis on medical applications.

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