Yuan-Long Zhu

A statistical-token adaptive temporal network for efficient motor imagery EEG analysis

Motor imagery (MI) based brain-computer interfaces are pivotal for neurorehabilitation but are often hindered by the low signal-to-noise ratio and non-stationary nature of EEG signals. To address the trade-off between feature extraction efficiency and model complexity in existing methods, this paper proposes a lightwei...