Xiao-Kai Yan

PADA: perturbation-aware differential Riemannian attention for robust motor imagery decoding

Introduction Riemannian geometry models have significantly improved the robustness and performance of EEG-based motor imagery decoding and are better suited to small sample sizes; however, their ability to extract nonlinear and spatiotemporal variability features often falls short of Euclidean-based deep learning metho...