Speaker: MengChu Zhou
Time: Thursday, Nov 20, 13:30 p.m
Venue: Multi-Function Hall, 1st Floor, Convention Center (East Campus)
Abstract:
Cross-Frequency Coupling (CFC) occurring in the simultaneously active components of neural oscillations allows populations of neurons to interact and thus enables high-level cognitive functions. However, the complex and dynamic nature of CFC makes its quantification challenging. This talk introduces a novel CFC model and answers how it can be used to enhance decoding performance of EEG-based brain–computer interface (BCIs) in an efficient manner. We model rhythmic EEG oscillations as the sum of CFC components, thus capturing dynamic interactions associated with frequency bands, time, and spatial location. Our proposed model is verified in motor imagery paradigms and achieves a significant improvement in classification accuracy over the state-of-the-art methods. Our proposed method provides interpretable metrics that link oscillatory patterns to cognitive states, offering new insights into how multi-scale neural dynamics support action planning, motor control, and cognitive modulation. The talk will conclude with our perspectives on integrating CFC modeling into real-time, closed-loop Brain–machine systems for neurorehabilitation and cognitive augmentation.
Biography:
MengChu Zhou received his B.S. degree in Control Engineering from Nanjing University of Science and Technology, Nanjing, China in 1983, M.S. degree in Automatic Control from Beijing Institute of Technology, Beijing, China in 1986, and Ph. D. degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990. He joined the Department of Electrical and Computer Engineering, New Jersey Institute of Technology in 1990, and is now a Distinguished Professor. His interests are in intelligent systems, robotics, Petri nets, Internet of Things, machine learning, and big data analytics. He has over 1300 publications including 17 books, over 900 journal papers including over 700 IEEE Transactions papers, 31 patents and 32 book-chapters. He is presently Senior Editor of IEEE Transactions on Intelligent Transportation Systems, and Associate Editor of Research, IEEE Internet of Things Journal, and Frontiers of Information Technology & Electronic Engineering. He is a recipient of Excellence in Research Prize and Medal from NJIT, Humboldt Research Award for US Senior Scientists from Alexander von Humboldt Foundation, and Franklin V. Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems, Man, and Cybernetics Society, and Edison Patent Award from the Research & Development Council of New Jersey. His work has received over 78800 GoogleScholar citations with h-index being 141. He is Fellow of IEEE, International Federation of Automatic Control (IFAC), American Association for the Advancement of Science (AAAS), Chinese Association of Automation (CAA) and National Academy of Inventors (NAI).