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Investigation of Non-stationarity in Brain Activity via Robust Principal Component Analysis AbstractInvestigating non-stationarities is an important topic and a difficult problem in neuroscience. In this paper we propose a method that allows, visualizing the spatial pattern of the most prominent variability in the neuroscientific data (EEG in this case).
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