Hai-Lun Xu

D-STNet: Dynamic Spectrum-Time Fusion With Adaptive Covariance Alignment for Motor Imagery EEG Decoding

Motor imagery electroencephalography (MI-EEG) decoding is limited by intersession nonstationarity and covariance mismatch. Existing alignment and deep decoding methods often use fixed preprocessing or unified feature learning, which limits adaptation to evolving covariance statistics and heterogeneous spectral–temporal...