Liqing Zhang

MOE-MSRA Joint Lab for Intelligent Computing and Intelligent Systems
Department of Computer Science and Engineering, Shanghai Jiao Tong University
zhang-lq@cs.sjtu.edu.cn

Abstract

Brain-computer interfaces are emerging technology of establishing direct link between human intentions and devices, allowing people to communicate and control devices in their environment without using the peripheral neural system but instead through the use of signals from the brain. The talk introduces general framework of BCI platform developed in SJTU, including the electroneurophysiologic mechanism for BCI, communication protocols, cognitive task-related EEG feature analysis, pattern classification, and multi-neurofeedback for motor functional rehabilitation. In this framework, a new tensor decomposition method is developed for extracting features of online EEG data. We further introduce multi-neurofeedback training platform for motor functional rehabilitation. Large clinical rehabilitation experiments will be reported to confirm that the multi-neurofeedback paradigm is able to improve the rehabilitation performance of motor functions for stroke patients. Finally we will provide some new perspectives and applications of BCI technology.  

Short Bio

Liqing Zhang received the Ph.D. degree from Zhongshan (SUN YAT-SEN) University, China, in 1988. He was promoted to full professor position in 1995 at South China University of Technology. He worked as a research scientist in RIKEN Brain Science Institute, Japan from 1997 to 2002. He is now a Professor with Department of Computer Science and Engineering, Shanghai Jiao Tong University. He is also a visiting scientist of RIKEN Brain Science Institute. His current research interests cover computational theory for cortical networks, brain–computer interface, perception and cognition computing model, statistical learning and inference. He has published more than 200 papers in international journals and conferences, including IEEE journals ( IEEE PAMI, TNN, IEEE TSP, IEEE Computer, IEEE NSRE, IEEE ASLP) and top computer conferences (NIPS, CVPR, ACMMM, ECCV). He serves as the associate editor of “International Journal of Computational Intelligence and Neuroscience”, the director of the committee of Biocybernetics and Biomedical engineering, Chinese Automation Association; member of Chinese Neural Network Society, member of neuroinformatics and neuroengineering committee, Chinese Neuroscience Association.