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Deep Invertible Networks for EEG-based brain-signal decoding

Machine Learning 2019-07-19 v1 Neural and Evolutionary Computing Signal Processing Machine Learning
Authors: Robin Tibor Schirrmeister , Tonio Ball
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Abstract

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.

Keywords

eeg decoding

Cite

@article{arxiv.1907.07746,
  title  = {Deep Invertible Networks for EEG-based brain-signal decoding},
  author = {Robin Tibor Schirrmeister and Tonio Ball},
  journal= {arXiv preprint arXiv:1907.07746},
  year   = {2019}
}

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