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Institute of Automation, Chinese Academy of Sciences
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Compact student models can now achieve near EEG foundation model performance with significantly reduced model size and inference cost, thanks to a novel knowledge distillation framework.
EEG foundation models struggle with limited data because of structural mismatch, but SCOPE solves this by creating structured prototypes that guide adaptation, leading to better generalization.
