STDR-Net: A Spatio-Temporal Dependency Refinement Network for Motor Imagery EEG Decoding
Background/Objectives: Motor imagery electroencephalography (MI-EEG) contains weak, non-stationary patterns that evolve across channels and time. Effective decoding requires local sensorimotor structure, trial-wide context, and ordered temporal evolution to be represented without discarding information from earlier pro...