EEG-PRIME: Prototype-Aligned Representation Learning with Multi-Level Conditioning for EEG Decoding
Electroencephalography (EEG) decoding models often generalize poorly across datasets and subjects due to domain shifts in acquisition protocols and individual neurophysiology, but EEG-PRIME achieves balanced accuracy comparable to within-session calibration models without target-domain optimization, calibration, or lin...