Abstract:A deep neural network has been successfully applied to an electroencephalogram (EEG)-based brain-computer interface. However, in most studies, the correlation between EEG channels and inter-region relationships are not well utilized, resulting in sub-optimized spatial feature extraction. In this study, we propose an attention-based dual-stream 3Dconvolutional neural network that can enhance spatial feature extraction by emphasizing the relationship between channels with dot product-based channel attention and … Show more
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