Interpretable deep neural networks for single-trial EEG classification

In cognitive neuroscience the potential of deep neural networks (DNNs) for solving complex classification tasks is yet to be fully exploited. The most limiting factor is that DNNs as notorious 'black boxes' do not provide insight into neurophysiological phenomena underlying a decision. Lay...

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Bibliographic Details
Published inJournal of neuroscience methods Vol. 274; pp. 141 - 145
Main Authors Sturm, Irene, Lapuschkin, Sebastian, Samek, Wojciech, Müller, Klaus-Robert
Format Journal Article
LanguageEnglish
Published Netherlands 01.12.2016
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