張韶岷

張韶岷，男，美國布朗大學布朗腦科學研究所從事博士後研究畢業，浙江大學教授。

基本介紹

• 中文名：張韶岷
• 畢業院校：美國布朗大學
• 學位/學歷：博士
• 專業方向：腦機接口、神經工程、康復工程

研究方向

利用高通量神經集群記錄方法，開展植入式腦機接口的動物和臨床研究，探索運動控制過程中多個腦區的功能作用和協作機制；

結合多模態神經信號獲取手段，開展神經調控的作用機制研究和定量評估，並套用於神經科學的基礎研究與神經系統疾病的治療和康復；

人物經歷

• 1997年至2002年，浙江大學生物醫學工程系，本科，主要在葉志前教授指導下，完成口腔三維手術模擬和仿真等工作。
  
• 2002年至2007年，浙江大學生物醫學工程系，博士研究生，主要在鄭筱祥教授的指導下從神經化學和電生理兩方面對腦卒中發病機理和中藥保護作用進行了研究。
  
• 2004年至2006年期間兩次前往香港理工大學賽馬會康復中心從事康復工程的研究，與Raymond Tong(湯啟宇)教授合作，主要研究運動訓練和功能性電刺激等物理治療手段在腦中風康復中的作用。
  
• 2007年至2009年，在浙江大學數位技術和儀器研究所開展博士後工作，2007年底加入浙江大學求是高等研究院團隊，從事植入式腦機接口的研究。
  
• 2012年至2014年，在美國布朗大學布朗腦科學研究所從事博士後研究。在John Donoghue教授和Leigh Hochberg教授領導的BrainGate研究團隊中，主要利用植入式腦機接口臨床數據，對神經信號和神經電極性能進行評價。
  

發表論文

• J. Chen, Y. Hao, S. Zhang, G. Sun, K. Xu, W. Chen, and X. Zheng, An automated behavioral apparatus to combine parameterized reaching and grasping movements in 3D space, J Neurosci Methods, 2019-01-15 2019, pp. 139-147.
  
• S. Zhang, S. Yuan, L. Huang, X. Zheng, Z. Wu, K. Xu, and G. Pan, Human Mind Control of Rat Cyborg's Continuous Locomotion with Wireless Brain-to-Brain Interface, Sci Rep, 2019-02-04 2019, pp. 1321.
  
• G. Wang, S. Zhang, S. Dong, D. Lou, L. Ma, X. Pei, H. Xu, U. Farooq, W. Guo, and J. Luo, Stretchable Optical Sensing Patch System Integrated Heart Rate, Pulse Oxygen Saturation, and Sweat pH Detection, IEEE Trans Biomed Eng, 2019-04-01 2019, pp. 1000-1005.
  
• D. Xing, C. Qian, H. Li, S. Zhang, Q. Zhang, Y. Hao, X. Zheng, Z. Wu, Y. Wang, and G. Pan, Predicting Spike Trains from PMd to M1 Using Discrete Time Rescaling Targeted GLM, IEEE Transactions on Cognitive and Developmental Systems2018, pp. 194-204.
  
• C. Qian, X. Sun, S. Zhang, D. Xing, H. Li, X. Zheng, G. Pan, and Y. Wang, Nonlinear Modeling of Neural Interaction for Spike Prediction Using the Staged Point-Process Model, Neural Computation, 2018-10-12 2018, pp. 1-38.
  
• J. Zhang, S. Zhang, C. Yu, X. Zheng, and K. Xu, Intrinsic optical imaging study on cortical responses to electrical stimulation in ventral posterior medial nucleus of thalamus, Brain Research, 2018-04-01 2018, pp. 40-49.
  
• N. Zheng, Q. Ma, M. Jin, S. Zhang, N. Guan, Q. Yang, and J. Dai, Abdominal-Waving Control of Tethered Bumblebees Based on Sarsa With Transformed Reward, IEEE Trans Cybern, 2018-06-22 2018.
  
• G. Pan, J.J. Li, Y. Qi, H. Yu, J.M. Zhu, X.X. Zheng, Y.M. Wang, and S.M. Zhang, Rapid Decoding of Hand Gestures in Electrocorticography Using Recurrent Neural Networks, Front Neurosci, 2018-01-20 2018, pp. 555.
  
• F. Wang, Y. Wang, K. Xu, H. Li, Y. Liao, Q. Zhang, S. Zhang, X. Zheng, and J.C. Principe, Quantized Attention-Gated Kernel Reinforcement Learning for Brain-Machine Interface Decoding, IEEE Trans Neural Netw Learn Syst, 2017-04-01 2017, pp. 873-886.
  
• Y. Li, S. Zhang, Y. Jin, B. Cai, M. Controzzi, J. Zhu, J. Zhang, and X. Zheng, Gesture Decoding Using ECoG Signals from Human Sensorimotor Cortex: A Pilot Study, Behavioural Neurology, 2017-01-20 2017, pp. 3435686.
  
• K. Xie, S. Zhang, S. Dong, S. Li, C. Yu, K. Xu, W. Chen, W. Guo, J. Luo, and Z. Wu, Portable wireless electrocorticography system with a flexible microelectrodes array for epilepsy treatment, Sci Rep, 2017-08-10 2017, pp. 7808.
  
• Y. Hao, S. Zhang, Q. Zhang, G. Li, W. Chen, and X. Zheng, Neural synergies for controlling reach and grasp movement in macaques, Neuroscience, 2017-08-15 2017, pp. 372-383.
  
• H. Li, Y. Hao, S. Zhang, Y. Wang, W. Chen, and X. Zheng, Prior Knowledge of Target Direction and Intended Movement Selection Improves Indirect Reaching Movement Decoding, Behavioural Neurology, 2017-01-20 2017, pp. 2182843.
  
• S. Dong, W. Chen, X. Wang, S. Zhang, K. Xu, and X. Zheng, Flexible ECoG electrode for implantation and neural signal recording applications, Vacuum2017, pp. 96-100.
  
• Y. Wang, X. She, Y. Liao, H. Li, Q. Zhang, S. Zhang, X. Zheng, and J. Principe, Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain-Machine Interfaces, IEEE Trans Biomed Eng, 2016-08-01 2016, pp. 1728-1741.
  
• L. Hongbao, W. Fang, Z. Qiaosheng, Z. Shaomin, W. Yiwen, Z. Xiaoxiang, and J.C. Principe, Maximum correntropy based attention-gated reinforcement learning designed for brain machine interface, Proc. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, pp. 3056-3059.
  
• J. Yile, L. Mingwei, W. Xiaotian, Z. Shaomin, Z. Junming, and Z. Xiaoxiang, Electrocorticographic signals comparison in sensorimotor cortex between contralateral and ipsilateral hand movements, Conf Proc IEEE Eng Med Biol Soc, 2016-08-01 2016, pp. 1544-1547.
  
• Y. Wang, L. Jiang, B. Cai, Y. Wang, S. Zhang, and X. Zheng, A closed-loop system for rapid face retrieval by combining EEG and computer vision, IEEE, 2015, pp. 130-133.
  
• L. Wang, G. Sun, Z. Gui, Y. Wang, S. Zhang, and X. Zheng, A reconfigurable general behavior data acquisition system for motor brain machine interface, IEEE, 2015, pp. 134-137.
  
• Y. Liao, X. She, Y. Wang, S. Zhang, Q. Zhang, X. Zheng, and J.C. Principe, Monte Carlo point process estimation of electromyographic envelopes from motor cortical spikes for brain-machine interfaces, Journal of Neural Engineering, 2015-12-01 2015, pp. 66014.
  
• Y. Jin, Q. Zhang, Y. Li, G. Sun, J. Zhu, S. Zhang, and X. Zheng, Comparison of long-term decoding stability of ultra high frequency band local field potentials (>500Hz) and spike signals in primate motor cortex, IEEE, 2015, pp. 529-532.
  
• Y. Wang, F. Wang, K. Xu, Q. Zhang, S. Zhang, and X. Zheng, Neural Control of a Tracking Task via Attention-Gated Reinforcement Learning for Brain-Machine Interfaces, IEEE Trans Neural Syst Rehabil Eng, 2015-05-01 2015, pp. 458-467.
  
• Y. Li, D. Wang, Q. Zhang, Y. Wang, S. Zhang, and X. Zheng, The comparison of long-term decoding performance between low and high frequency local field potentials in macaque monkeys, IEEE, 2014, pp. 648-651.
  
• Y. Hao, Q. Zhang, M. Controzzi, C. Cipriani, Y. Li, J. Li, S. Zhang, Y. Wang, W. Chen, C.M. Chiara, and X. Zheng, Distinct neural patterns enable grasp types decoding in monkey dorsal premotor cortex, Journal of Neural Engineering, 2014-12-01 2014, pp. 66011.
  
• D. Wang, Q. Zhang, Y. Li, Y. Wang, J. Zhu, S. Zhang, and X. Zheng, Long-term decoding stability of local field potentials from silicon arrays in primate motor cortex during a 2D center out task, Journal of Neural Engineering, 2014-06-01 2014, pp. 36009.
  
• J.A. Perge, S. Zhang, W.Q. Malik, M.L. Homer, S. Cash, G. Friehs, E.N. Eskandar, J.P. Donoghue, and L.R. Hochberg, Reliability of directional information in unsorted spikes and local field potentials recorded in human motor cortex, Journal of Neural Engineering, 2014-08-01 2014, pp. 46007.
  

授權發明專利

• 一種腦電信號模擬發生裝置，ZL201721327266，張韶岷; 王敏敏; 陳衛東;
  
• 用於三維空間中多手勢伸抓運動的實驗訓練裝置，ZL201721227290，陳俊君; 郝耀耀; 孫光昊; 張韶岷; 王洋; 杜尚;
  
• 基於臨床腦電信號控制機械手運動的腦機接口系統及其套用，ZL201611052250 張韶岷; 李悅; 王東; 蔡邦宇; 朱君明; 張建民; 鄭筱祥; 吳朝暉; 潘綱；
  
• 一種記錄‑刺激模式切換裝置，ZL201620399300，萬瑾; 張韶岷; 郝耀耀; 許科帝; 鄭筱祥;
  
• 一種非人靈長類動物自動化抓握訓練與記錄裝置，ZL201520604626，孫光昊; 陸明偉; 張韶岷; 鄭筱祥;
  
• 一種三維伸抓運動訓練裝置及方法，ZL201510136459，汪禮超; 孫光昊; 張韶岷; 鄭筱祥;
  
• 一種背包式無線光刺激裝置及其方法，ZL201210166377，張巧生; 郭頌超; 郝耀耀; 張磊; 張韶岷; 楊怡; 趙挺; 鄭筱祥;
  
• 一種基於眼動掃描的目標物體識別方法,ZL201110075485，張韶岷; 郝耀耀; 陳衛東; 鄭筱祥;
  
• 用於非人靈長類動物行為學習的自動化訓練裝置，ZL200920201819，郝耀耀; 張巧生; 李斌; 朱凡; 張韶岷; 陳衛東; 代建華; 鄭筱祥;
  
• 基於虛擬現實的殘障人士康復系統，ZL200910099275，陳衛東; 代建華; 張韶岷; 蘇煜; 陳默; 王清波; 劉俊; 鄭筱祥;
  
• BCI動物實驗系統的腦神經電刺激/採集器，ZL200710067763，陳衛東; 張韶岷; 金林; 王鵬;