Seminar: Brain-Computer Interface: Decoding and Modulating the Brain

Abstract: Brain-computer interface (BCI) is a neurotechnology that enables direct brain-based communication between an individual and the rest of the world. BCI is a system that decodes the user’s mental state or intention and maps such information to the action of a device that interacts with the surrounding environment. Other interesting avenues of BCIs investigate how neuromodulation impacts the performance of the nervous systems for completing various tasks. In this talk, I will present our work on developing non-invasive BCI technology from scalp-recorded EEG signals for controlling a computer cursor and robotic arm using only the “thought” of human subjects. I will also present our work on developing transcranial focused ultrasound neuromodulation technology for non-invasive precision stimulation of brain circuits, and investigation of transcranial focused ultrasound neuromodulation for treating pain, in particular, sickle cell pain. I will also discuss our recent work on a bidirectional BCI approach integrating motion visual evoked potential speller and transcranial focused ultrasound modulation of V5 for significantly enhancing the BCI performance in human subjects. 

Biography: Bin He is a Trustee Professor of Biomedical Engineering and Neuroscience, and by courtesy of Electrical and Computer Engineering at Carnegie Mellon University. His current research interests include EEG based brain-computer interface, transcranial focused ultrasound neuromodulation and electrophysiological source imaging. Dr. He’s work has been recognized by prestigious awards including the IEEE Biomedical Engineering Award, the IEEE EMBS William J. Morlock Award, the IEEE EMBS Academic Career Achievements Award, and the AIMBE Earl Bakken Lecture Award. He served as a Past Chair of the International Academy of Medical and Biological Engineering (IAMBE), Past President of IEEE Engineering in Medicine and Biology Society (EMBS), Editor-in-Chief of IEEE Transactions on Biomedical Engineering, and a Member of NIH BRAIN Initiative Multi-Council Working Group. He is an elected Fellow of National Academy of Inventors (NAI), IAMBE, IEEE, American Institute of Medical and Biological Engineering (AIMBE), and Biomedical Engineering Society (BMES).