Improving Generalization of CNN-Based Motor-Imagery EEG Decoders via Dynamic Convolutions
Deep Convolutional Neural Networks (CNNs) have recently demonstrated impressive results in electroencephalogram (EEG) decoding for several Brain-Computer Interface (BCI) paradigms, including Motor-Imagery (MI). However, neurophysiological processes underpinning EEG signals vary across subjects causi...
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Main Authors: | , , , , , |
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Format: | Book |
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IEEE,
2023-01-01T00:00:00Z.
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