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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

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

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).

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