Hi! The



徐鹏Peng Xu


Research Interests

Methodology for EEG analysis, Brain computer interface, biologically inspired artificial intelligence.


Peng Xu received the B.S and Ph.D. degrees in biomedical engineering from the University of Electronic Science and Technology of China (UESTC), Chengdu, China in 2000 and 2006, respectively. He was a postdoctoral at Neural Systems and Dynamics Laboratory, University of California, Los Angeles form 2007.4 to 2009.2. Currently, he is a professor in school of life science and technology, UESTC.

Selected Publications

1. Teng Ma, Hui Li, Lili Deng, Hao Yang, Xulin Lv, Peiyang Li, Fali Li, Rui Zhang, Tiejun Liu, Dezhong Yao, Peng Xu. The hybrid BCI system for movement control by combining motor imagery and moving onset visual evoked potential. Journal of Neural Engineering, 2017, 14(2): 026015.

2. Tao Zhang, Tiejun Liu, Fali Li, Mengchen Li, Dongbo Liu, Rui Zhang, Hui He, Peiyang Li, Jinnan Gong, Cheng Luo, Dezhong Yao, Peng Xu. Structural and functional correlates of motor imagery BCI performance: Insights from the patterns of fronto-parietal attention network. Neuroimage, 2016, 134: 475-485.

3. Rui Zhang, Dezhong Yao, Pedro A Valdés-Sosa, Fali Li, Peiyang Li, Tao Zhang, Teng Ma, Yongjie Li, Peng Xu. Efficient resting-state EEG network facilitates motor imagery performance. Journal of Neural Engineering, 2015, 12(6): 066024.

4. F Li. B Chen, H Li, T Zhang, F Wang, Y Jiang, P Li, T Ma, R Zhang, Y Tian, T Liu, D Guo, D Yao, P Xu. The time-varying networks in P300: a task-evoked EEG study. IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2016, 24(7): 725-733.

5. P Li, X Huang, F Li, X Wang, W Zhou, H Liu, T Ma, T Zhang, D Guo, D Yao, P Xu. Robust Granger Analysis in Lp Norm Space for Directed EEG Network Analysis. IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2017, Accepted.


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