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Found 2 papers, 1 papers with code
Transformer-based Spatial-Temporal Feature Learning for EEG Decoding
As far as we know, it is the first time that a detailed and complete method based on the transformer idea has been proposed in this field.
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface
The cross-subject application of EEG-based brain-computer interface (BCI) has always been limited by large individual difference and complex characteristics that are difficult to perceive.
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