New Approaches for the Detection and Analysis of Electroencephalographic...
AbstractAn automatic EEG pattern detection unit was developed and tested for the recognition of burst-suppression periods and for the separation of burst from suppression patterns. The median, standard...
View ArticleLearning the Dynamic Neural Networks with the Improvement of Generalization...
AbstractThis work addresses the problem of improving the generalization capabilities of continuous recurrent neural networks. The learning task is transformed into an optimal control framework in which...
View ArticleMultivariate Time Series Analysis
AbstractNowadays, modern measurement devices are capable to deliver signals with increasing data rates and higher spatial resolutions. When analyzing these data, particular interest is focused on...
View ArticleAnalysis and modeling of time-variant amplitude–frequency couplings of and...
AbstractLow-frequency (0.5–2.5 Hz) and individually defined high-frequency (7–11 or 8–12 Hz; 11–15 or 14–18 Hz) oscillatory components of the electroencephalogram (EEG) burst activity derived from...
View ArticleInfluence of Parameter Choice on the Detection of High-Dimensional Functional...
AbstractThe detection of directed interactions within networks derived from spatially highly resolved data, such as functional magnetic resonance imaging (fMRI) has been a challenging task for the last...
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