Browsing by Author "Kraskov, Alexander"

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  • Bivariate surrogate techniques: necessity, strengths, and caveats
    Andrzejak, Ralph Gregor; Kraskov, Alexander; Stögbauer, Harald; Mormann, Florian; Kreuz, Thomas (American Physical Society, 2003)
    The concept of surrogates allows testing results from time series analysis against specified null hypotheses. In application to bivariate model dynamics we here compare different types of surrogates, each designed to test ...
  • Hierarchical clustering using mutual information
    Kraskov, Alexander; Stögbauer, Harald; Andrzejak, Ralph Gregor; Grassberger, Peter (IOP Publishing Ltd., 2005)
    We present a conceptually simple method for hierarchical clustering of data called mutual information clustering (MIC) algorithm. It uses mutual information (MI) as a similarity measure and exploits its grouping property: ...
  • Measure profile surrogates: a method to validate the performance of epileptic seizure prediction algorithms
    Kreuz, Thomas; Andrzejak, Ralph Gregor; Mormann, Florian; Kraskov, Alexander; Stögbauer, Harald; Elger, Christian E.; Lehnertz, Klaus; Grassberger, Peter (American Physical Society, 2004)
    In a growing number of publications it is claimed that epileptic seizures can be predicted by analyzing the electroencephalogram (EEG) with different characterizing measures. However, many of these studies suffer from a ...
  • Testing the null hypothesis of the nonexistence of a preseizure state
    Andrzejak, Ralph Gregor; Mormann, Florian; Kreuz, Thomas; Rieke, Christoph; Kraskov, Alexander; Elger, Christian E.; Lehnertz, Klaus (American Physical Society, 2003)
    A rapidly growing number of studies deals with the prediction of epileptic seizures. For this purpose, various techniques derived from linear and nonlinear time series analysis have been applied to the electroencephalogram ...