个人简介
教育经历
2001.01-2004.05美国普渡大学,计算机科学系,理学学士
2004.08-2010.05美国杜克大学,计算机科学系,理学博士,导师: Craig S. Henriquez
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,合作导师: Miguel A.L. Nicolelis
2013.03-至今 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
研究领域
脑机接口技术和有关神经科学问题,包括实时解码运动皮层群体细胞放电信号的算法、胞外信号记录与预处理方法、运动皮层神经活动编码模型、学习使用脑机接口的过程、近红外成像数据解码、脑电信号处理与解码
近期论文
查看导师新发文章
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Li J, Chen X, & Li Z (2018) Spike detection and spike sorting with a hidden Markov model improves offline decoding of motor cortical recordings. Journal of Neural Engineering 16(1): 016014.
Xiao X, Yu X, Zhang Z, Zhao Y, Jiang Y, Li Z, ... & Zhu C (2018) Transcranial brain atlas. Science Advances 4(9): eaar6904.
Li J, & Li Z (2017) Sums of spike waveform features for motor decoding. Frontiers in Neuroscience , 11: 406.
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.
Li S, Li J, & Li Z (2016) An improved unscented kalman filter based decoder for cortical brain-machine interfaces. Frontiers in Neuroscience 10: 587.
Li Z (2014). Decoding methods for neural prostheses: where have we reached?. Frontiers in Systems Neuroscience 8:129.
Schwarz D A, Lebedev M A, Hanson T L, Dimitrov D F, Lehew G, Meloy J, ... & Ramakrishnan A (2014) Chronic, wireless recordings of large-scale brain activity in freely moving rhesus monkeys. Nature Methods 11(6): 670.
Ifft P J, Shokur S, Li Z, Lebedev M A, & Nicolelis M A (2013) A brain-machine interface enables bimanual arm movements in monkeys. Science Translational Medicine 5(210):210ra154.
Li Z, O'Doherty J E, Lebedev M A, & Nicolelis M A (2011) Adaptive decoding for brain-machine interfaces through Bayesian parameter updates. Neural Computation 23(12): 3162-3204.
Li Z, O'Doherty J E, Hanson T L, Lebedev M A, Henriquez C S, & Nicolelis M A (2009) Unscented Kalman filter for brain-machine interfaces. PloS One 4(7).