Deep Invertible Networks for EEG-based brain-signal decoding
In this manuscript, we investigate deep invertible networks for EEG-based brain signal decoding and find them to generate realistic EEG signals as well as classify novel signals above chance. Further ideas for their regularization towards better decoding accuracies are discussed.
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EEGElectroencephalogram (EEG)Similar Papers 제목 키워드 기반
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