Deep learning for electroencephalogram (EEG) classification tasks: a review

This is the authors' abstract. We don't add key points for this paper.

This review summarizes the current practices and performance outcomes in the use of deep learning for EEG classification. Practical suggestions on the selection of many hyperparameters are provided in the hope that they will promote or guide the deployment of deep learning to EEG datasets in future research.