A calibration-free EEG decoding framework that aligns and patches multi-dataset signals so a pretrained model can decode new users without labeled tuning.
Brain computer i nterfaces, a review,
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AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding
A calibration-free EEG decoding framework that aligns and patches multi-dataset signals so a pretrained model can decode new users without labeled tuning.