FUSED integrates EEG foundation models into source-free domain adaptation via dual-branch co-adaptation, consensus filtering, and two-stage pseudo-label refinement to achieve state-of-the-art cross-subject EEG decoding.
Contrastive learning of subject-invariant eeg representations for cross-subject emotion recog- nition,
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Foundation Model Guided Dual-Branch Co-Adaptation for Source-Free EEG Decoding
FUSED integrates EEG foundation models into source-free domain adaptation via dual-branch co-adaptation, consensus filtering, and two-stage pseudo-label refinement to achieve state-of-the-art cross-subject EEG decoding.