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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Published in | Journal of neuroscience methods Vol. 274; pp. 141 - 145 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
01.12.2016
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Subjects | |
Online Access | Get full text |
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