SAF Improves Parkinson's ECoG Prediction
Introduces first reproducible ECoG dataset from rat models for Parkinson's disease prediction. Swap-Adversarial Framework (SAF) uses channel swapping and domain-adversarial training to tackle inter-subject variability and HDLSS issues. Outperforms baselines in cross-subject, cross-session, and cross-dataset settings, generalizing to EEG.





