广东广州人，理学博士，现任北京师范大学文理学院心理学系特聘研究员、认知神经工效研究中心副主任。参与在研国家级课题2项，主持完成国家级项目2项，在《Computers in Biology and Medicine》《Journal of Neural Engineering》《Nature Methods》《Science Advances》《Science Translational Medicine》《IEEE Transactions on Neural Systems and Rehabilitation Engineering》等刊物发表学术文章50余篇。

教育背景

2001.01-2004.05 美国普渡大学，计算机科学，理学学士

2004.08-2010.05 美国杜克大学，计算机科学，理学博士

工作经历

2010.06-2011.02 美国杜克大学，神经生物学系，研究学者

2011.03-2012.12 美国杜克大学，神经生物学系，博士后

2013.03-2020.05 北京师范大学，认知神经科学与学习国家重点实验室，副研究员

2020.05-2024.10 北京师范大学，自然科学高等研究院，特聘研究员

2020.10-今 北京师范大学，文理学院，特聘研究员

研究方向

主要从事脑机接口的信号处理和脑活动解码研究，包括皮层植入式脑机接口、无创脑电式脑机接口、无创近红外式脑机接口等，应用于计算机光标/机械臂控制和各种认知状态的检测。

科研项目

1. 国家自然科学基金重点项目；基于光学微腔的新型光量子传感器及系统；2025-2029；参与

2. 科技创新2030“脑科学与类脑研究”重大项目；脑机交互计算融合研究平台；2021-2026；参与

3. 国家重点研发计划；智慧司法科学理论与司法改革科技支撑技术研究；2020-2023；参与

4. 国家自然科学基金青年项目；基于贝叶斯联合模型的皮层脑机接口实现：动作电位的实时检测；2015-2017；主持

5. 国家自然科学基金重点项目；基于血氧代谢信号的神经反馈：关键理论与技术研究；2015-2019；参与

6. 国家重点基础研究发展计划；学习行为发生、发展及异常的认知神经机制研究；2014-2018；参与

出版著作

Li, Z. (2016) Adaptive Spike Sorting with a Gaussian Mixture Model. Chapter in: Signal Processing in Neuroscience, Li, X. ed., Springer Science, 11-38, doi: 10.1007/978-981-10-1822-0, ISBN:978-981-10-1821-3

代表论文

1.Xu Z, Tang S, Di Z, Li Z*. (2024) Dynamic multilayer networks reveal mind wandering. Frontiers in Neuroscience. 18:1421498. doi: 10.3389/fnins.2024.1421498

2.Lian S, Li Z*. (2024) An end-to-end multi-task motor imagery EEG classification neural network based on dynamic fusion of spectral-temporal features. Computers in Biology and Medicine. 178(2024):108727. doi: 10.1016/j.compbiomed.2024.108727

3.Tang S, Li Z*. (2024) EEG complexity measures for detecting mind wandering during video-based learning. Scientific Reports. 14:8209. doi: 10.1038/s41598-024-58889-9

4.Xu Z, Huang J, Liu C, Zhang Q, Gu H, Li X, Di Z, Li Z*. (2024) Dynamic Functional Connectivity Correlates of Mental Workload. Cognitive Neurodynamics. doi: 10.1007/s11571-024-10101-4

5.Zhang C, Wang H, Tang S, Li Z*. (2024) Rhesus monkeys learn to control a directional-key inspired brain machine interface via bio-feedback. PLoS ONE. 19(1): e0286742. doi: 10.1371/journal.pone.0286742

6.Xu Z, Tang S, Liu C, Zhang Q, Gu H, Li X, Di Z, Li Z*. (2023) Temporal Segmentation of EEG Based on Functional Connectivity Network Structure. Scientific Reports. 13:22566. doi: 10.1038/s41598-023-49891-8

7.Tang S, Liang Y, Li Z*. (2023) Mind wandering state detection during video-based learning via EEG. Frontiers in Human Neuroscience. 17:1182319. doi: 10.3389/fnhum.2023.1182319

8.Sosnik R*, Li Z. (2021) Reconstruction of hand, elbow and shoulder actual and imagined trajectories in 3D space using EEG current source dipoles. Journal of Neural Engineering. 18(5):056011. doi: 10.1088/1741-2552/abf0d7

9.Tang S, Liu C, Zhang Q, Gu H, Li X, Li Z*. (2021) Mental workload classification based on ignored auditory probes and spatial covariance. Journal of Neural Engineering. 18:0460c9. doi: 10.1088/1741-2552/ac15e5

10.Li J, Chen X, Li Z*. (2019) Spike detection and spike sorting with a hidden Markov model improves offline decoding of motor cortical recordings. Journal of Neural Engineering. 16:016014. doi: 10.1088/1741-2552/aaeaae

11.Xiao X, Yu X, Zhang Z, Zhao Y, Jiang Y, Li Z, Yang Y, Zhu C*. (2018) Transcranial brain atlas. Science Advances. 4(9):eaar6904. doi: 10.1126/sciadv.aar6904

12.Li J, Li Z*. (2017) Sums of Spike Waveform Features for Motor Decoding. Frontiers in Neuroscience. 11:406. doi: 10.3389/fnins.2017.00406

13.Li Z, Jiang Y-H, Duan L, Zhu C-Z*. (2017) A Gaussian mixture model based adaptive classifier for fNIRS brain-computer interfaces and its testing via simulation. Journal of Neural Engineering. 14(4):046014. doi: 10.1088/1741-2552/aa71c0

14.Li S, Li J, Li Z*. (2016) An Improved Unscented Kalman Filter Based Decoder for Cortical Brain-Machine Interfaces. Frontiers in Neuroscience. 10:587. doi: 10.3389/fnins.2016.00587

15.Li Z. (2014) Decoding methods for neural prostheses: where have we reached? Frontiers in Systems Neuroscience. 8:129. doi: 10.3389/fnsys.2014.00129

16.Schwarz DA, Lebedev MA, Hanson TL, Dimitrov DF, Lehew G, Meloy J, Rajangam S, Subramanian V, Ifft PJ, Li Z, Ramakrishnan A, Tate A, Zhuang KZ, Nicolelis MAL*. (2014) Chronic, wireless recordings of large-scale brain activity in freely moving rhesus monkeys. Nature Methods. 11(6):670-6. doi: 10.1038/nMeth.2936

17.Ifft PJ, Shokur S, Li Z, Lebedev MA, Nicolelis MAL*. (2013) A Brain-Machine Interface Enables Bimanual Arm Movements in Monkeys. Science Translational Medicine. 5, 210ra154. doi: 10.1126/scitranslmed.3006159

18.Li Z, O’Doherty JE, Lebedev MA, Nicolelis MAL*. (2011) Adaptive Decoding for Brain-Machine Interfaces Through Bayesian Parameter Updates. Neural Computation. 23(12), 3162-3204. doi:10.1162/NECO_a_00207

19.Li Z, O’Doherty JE, Hanson TL, Lebedev MA, Henriquez CS, Nicolelis MAL*. (2009) Unscented Kalman filter for brain-machine interfaces. PLoS ONE. 4(7): e6243. doi:10.1371/journal.pone.0006243

教学工作

本科生：

Introduction to Neural Interface Technologies GEN02143；

神经接口（全英文） 10310523761；

研究生：

基础心理学与认知神经科学学术论文写作 FOP31523501；

神经接口（全英文）FOP21138541