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个人简历
教育经历
1990 - 1995 , 理学博士 , 物理 , The University of Chicago
1986 - 1990 , 理学学士 , 物理 , Harvard University
1986 - 1990 , 理学学士 , 物理 , Harvard University
工作经历
2004 - 2007 , 助理教授 , 新泽西理工大学
荣誉奖励
北京大学生命科学院郑昌学奖教金，2017
北京大学教学优秀奖，2014
北京大学东宝奖教金，2012
北京大学教学优秀奖，2014
北京大学东宝奖教金，2012
科研领域描述
定量生物中心网站：
http://cqb.pku.edu.cn/kxdw/zxjs/tlt/253415.shtml
http://cqb.pku.edu.cn/kxdw/zxjs/tlt/253415.shtml
代表性论文
1. Xiao, Z., Wang, B., Sornborger, A.T.*, and Tao, L.*, `Mutual information and information gating in synfire chains,` Entropy (2018)
2. Xiao, Z., Zhang, J.W., Sornborger, A.T.*, and Tao, L.*, `Cusps enable line attractors for neural computation,` Phys. Rev. E. (2017)
3. Zhao, M. et al, `Segmentation and classification of two-channel C. elegans nucleus-labeled fluorescence images,` BMC Bioinformatics (2017)
4. Shao, Y., Sornborger, A.T.*, and Tao, L.*, “A pulse-gated, predictive neural circuit,” 2016 50th Asilomar Conference on Signals, Systems and Computers （2017）
5. Wang, Z., Sornborger, A.T. *, and Tao, L.*, “Graded, dynamically routable information processing with synfire-gated synfire chains,” PLoS Comput.Biol. 12(6): e1004979 (2016)
6. Sornborger, A.T.*; Wang, Z.; Tao, L.* “A mechanism for graded, dynamically routable current propagation in pulse-gated synfire chains and implications for information coding,” J. Comput. Neurosci. 39, 181-195 (2015)
7. Wang, C. and Tao, L.* “Dimensional reduction of a V1 ring model with simple and complex cells,” J. Comput. Neurosci. 37, 481-492 (2014)
8. Zheng, C. Yu, Z., Zhou, Y., Tao, L., Pang, Y., Chen, T., Zhang X. Qiu, H., Zhou, H., Chen, Z. and Huang Y., “Live cell imaging analysis of the epigenetic regulation of the human endothelial cell migration at single cell resolution,” Lab on a Chip, 32, 3063-3072 (2012)
9. Tao, L.*, Praissman, J., and Sornborger, A.T.*, “Improved dimensionally-reduced visual cortical network using stochastic noise modeling,” J. Comput. Neurosci., 32, 367-376 (2012)
10. Cai, D., Tao, L., Shkarayev, M.S., Rangan, A.V., McLaughlin, D.W., and Kovacic, G., “The role of fluctuations in coarse-grained descriptions of neuronal networks,” Comm. Math. Sci. 10, 307-354 (2012)
11. Tao, L.*, Lauderdale, J.D.* and Sornborger, A.T.*, “Mapping functional connectivity between neuronal ensembles with larval zebrafish transgenic for a ratiometric calcium indicator,” Frontiers in Neural Circuits 5, 2 (2011)
12. Carceras, M.J., Carrillo, J.A., and Tao, L., “A numerical solver for a nonlinear Fokker-Planck equation representation of neuronal network dynamics,” J. Comput. Phys. 230, 1084 (2011)
13. Tao, L.* and Sornborger, A.T.* “Dimensionally-reduced visual cortical network model predicts network response and connects system- and cellular-level descriptions,” J. Comput. Neurosci. 28, 91-106 (2010)
14. Kovacic, G., Tao, L., Rangan, A.V., and Cai, D., “Fokker-Planck description of conductance-based integrate-and-fire neuronal networks,” Phys. Rev. E 80, 021904 (2009)
2. Xiao, Z., Zhang, J.W., Sornborger, A.T.*, and Tao, L.*, `Cusps enable line attractors for neural computation,` Phys. Rev. E. (2017)
3. Zhao, M. et al, `Segmentation and classification of two-channel C. elegans nucleus-labeled fluorescence images,` BMC Bioinformatics (2017)
4. Shao, Y., Sornborger, A.T.*, and Tao, L.*, “A pulse-gated, predictive neural circuit,” 2016 50th Asilomar Conference on Signals, Systems and Computers （2017）
5. Wang, Z., Sornborger, A.T. *, and Tao, L.*, “Graded, dynamically routable information processing with synfire-gated synfire chains,” PLoS Comput.Biol. 12(6): e1004979 (2016)
6. Sornborger, A.T.*; Wang, Z.; Tao, L.* “A mechanism for graded, dynamically routable current propagation in pulse-gated synfire chains and implications for information coding,” J. Comput. Neurosci. 39, 181-195 (2015)
7. Wang, C. and Tao, L.* “Dimensional reduction of a V1 ring model with simple and complex cells,” J. Comput. Neurosci. 37, 481-492 (2014)
8. Zheng, C. Yu, Z., Zhou, Y., Tao, L., Pang, Y., Chen, T., Zhang X. Qiu, H., Zhou, H., Chen, Z. and Huang Y., “Live cell imaging analysis of the epigenetic regulation of the human endothelial cell migration at single cell resolution,” Lab on a Chip, 32, 3063-3072 (2012)
9. Tao, L.*, Praissman, J., and Sornborger, A.T.*, “Improved dimensionally-reduced visual cortical network using stochastic noise modeling,” J. Comput. Neurosci., 32, 367-376 (2012)
10. Cai, D., Tao, L., Shkarayev, M.S., Rangan, A.V., McLaughlin, D.W., and Kovacic, G., “The role of fluctuations in coarse-grained descriptions of neuronal networks,” Comm. Math. Sci. 10, 307-354 (2012)
11. Tao, L.*, Lauderdale, J.D.* and Sornborger, A.T.*, “Mapping functional connectivity between neuronal ensembles with larval zebrafish transgenic for a ratiometric calcium indicator,” Frontiers in Neural Circuits 5, 2 (2011)
12. Carceras, M.J., Carrillo, J.A., and Tao, L., “A numerical solver for a nonlinear Fokker-Planck equation representation of neuronal network dynamics,” J. Comput. Phys. 230, 1084 (2011)
13. Tao, L.* and Sornborger, A.T.* “Dimensionally-reduced visual cortical network model predicts network response and connects system- and cellular-level descriptions,” J. Comput. Neurosci. 28, 91-106 (2010)
14. Kovacic, G., Tao, L., Rangan, A.V., and Cai, D., “Fokker-Planck description of conductance-based integrate-and-fire neuronal networks,” Phys. Rev. E 80, 021904 (2009)
执教课程
生物数学建模 , 教授 , 2013 春 - 2018 春
实验室简介
主要的研究方向在于运用数学和大规模科学计算的方法去模拟、数值仿真、分析神经生物学中神经元网络的动力学特性，通过数学分析了解哺乳动物皮层的生物功能是如何在神经元网络各组分之间的相互作用中产生的。在神经生物学领域中最有意义的贡献是揭示了神经元网络动力学和网络结构之间的可能联系，而此联系已有神经生理学上的实验证据。并且通过模拟哺乳动物视皮层的大规模神经元网络，利用数学方法找到了一个可能的分岔结构确定了一个视皮层动力学上的运行点，从而发现了哺乳动物视觉朝向选择性的一个新机制。回国之后，课题组已经 (1) 利用数据时空分解方法研究大规模神经元网络的动力学性质并进行数据驱动式降维; (2) 应用数学降维方法，开拓分析光学成像数据的技术，发展预测神经元功能网络和功能连通性(functional connectivity)的算法，(3) 开展同时具有高空间分辨率和高时间分辨率的光学成像技术，研发线虫行为及其神经环路同步成像的光学成像系统。
