Yidan Ding

This study shows stroke survivors without BCI experience can control robotic hands via finger-level motor imagery, achieving 84% accuracy for two-finger tasks using deep learning decoders.

This paper introduces an EEG foundation model that improves online directional motor imagery BCI control, achieving higher accuracy and faster task completion in human participants.

This study shows that combining transcranial focused ultrasound with transcranial electric stimulation induces location-specific cortical activation in resting humans, suggesting tFUS has subthreshold modulatory effects.

This study uses EEG-informed fMRI to analyze neurovascular coupling during motor execution and imagery, revealing negative covariation between EEG alpha power and BOLD responses.