Brain-Computer Interface (BCI) and Translational Medicine Research

Our research team focuses on the innovative research and clinical translation of brain-computer interface (BCI) technology. Through various in vivo signal acquisition techniques, including high-throughput neural electrophysiological recording and EEG recording in mice, we achieve multiscale dynamic analysis of neural information, revealing the encoding rules of neurons and neural circuits at the microscopic level and tracking changes in whole-brain state at the macroscopic level. Based on this, we have constructed an intelligent closed-loop BCI system that generates regulatory commands through real-time decoding of neural signals, enabling precise intervention in target neural activities. Focusing on models of epilepsy, Parkinson's disease, glioma, and neuropsychiatric disorders, we explore neuroelectrophysiological biomarkers, evaluate the corrective and behavioral improvement effects of closed-loop regulation on diseases, and ultimately promote the development of clinically oriented BCI diagnostic and therapeutic strategies.