A survey organizes deep learning techniques including feature alignment, adversarial learning, feature disentanglement, and contrastive learning to tackle cross-subject generalization in EEG decoding while formalizing evaluation protocols.
Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI,
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Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods
A survey organizes deep learning techniques including feature alignment, adversarial learning, feature disentanglement, and contrastive learning to tackle cross-subject generalization in EEG decoding while formalizing evaluation protocols.