FBDA-TSRNet: A Filter Bank Dual-Path Attention and Temporal–Spatial Residual Network for Motor Imagery Decoding
Electroencephalography (EEG)-based motor imagery (MI) decoding is an important task in noninvasive brain-computer interfaces (BCIs). However, reliable MI-EEG decoding remains challenging because of low signal-to-noise ratios, inter-session and inter-subject variability, and multiscale spatiotemporal patterns. This stud...