周棟焯，男，漢族，教授，博士生導師。2002年獲北京大學數學科學學院學士學位，畢業後留校讀研，並於2007年獲理學博士學位，博士期間主要研究方向是高分子流體的多尺度建模與計算，博士畢業後2007年至2009年間在訪問紐約大學庫朗研究所作博士後，研究方向轉為大腦神經科學中的數學建模和科學計算，並於2010年加入上海交通大學，2010-2015年任特別研究員，2016年至今任教授，2017年獲得國家優秀青年科學基金。
基本介紹
- 中文名：周棟焯
- 外文名：Douglas Zhou
- 國籍：中國
- 民族：漢
- 職業：教授
- 畢業院校：北京大學
- 性別：男
個人簡介,代表性論著,
個人簡介
目前主要研究興趣是：生物及物理中的套用數學問題，如高分子流體的多尺度建模與計算，神經元網路動力學的數學性質與方法的研究，生物與物理系統中的非線性與混沌現象，大尺度的視覺神經網路的建模與模擬的研究。
代表性論著
1. Songting Li, Jiamin Xu, Guifen Chen, Longnian Lin, Douglas Zhou and David Cai, “The characterization ofhippocampal theta-driving neurons—a time delayed mutual information approach”, Sci. Rep., 7, 5637, (2017).
2. Z.J. Xu, G. Bi, D. Zhou and D. Cai, “A dynamical state underlying the second order maximum entropy principle inneuronal networks”, Comm. Math. Sci., 15 (3), 665-692, 2017.
3. V.J. Barranca, G. Kovacic, D. Zhou and D. Cai, “Improved compressive sensing of natural scenes using localizedrandom sampling”, Sci. Rep., 6, 31976, 2016.
4. S.W. Jiang, H. Lu, D. Zhou, and D. Cai, “Stochastic linearization ofturbulentdynamics of dispersive waves inequilibrium and non-equilibrium state”, New J. Phys., 18 (8), 083028, 2016.
5. V.J. Barranca, D. Zhou and D. Cai, “Compressive sensing reconstruction of feed-forward connectivity inpulse-coupled nonlinear networks”, Phys. Rev. E, 93 (6), 060201 (Rapid Communication), 2016.
6. S. Li, N. Liu, X. Zhang, D. Zhou and D. Cai, “Bilinearity in Spatiotemporal integration of synaptic inputs”, PLoSComput. Biol., 10 (12), e1004014, 2014.
7. V.J. Barranca, G. Kovacic, D. Zhou and D. Cai, “Sparsity and compressed coding in sensory systems”, PLoSComput. Biol., 10 (8), e1003793, 2014.
8. D. Zhou, Y. Zhang, Y. Xiao and D. Cai, “Reliability of the Granger causality inference”, New J. Phys., 16 (4),043016, 2014.
9. D. Zhou, Y. Xiao, Y. Zhang, Z. Xu and D. Cai, “Causal and structural connectivity of pulse-coupled nonlinearnetworks”, Phys. Rev. Lett, 111 (5), 054102, 2013.
10.D. Zhou, A.V. Rangan, D.W. McLaughlin and D. Cai, “Spatiotemporal dynamics of neuronal population response in the primary visual cortex”, Proc. Natl. Acad. Sci., USA, 110 (23), 9517-9522, 2013.
11.D. Zhou, S. Li, X. Zhang and D. Cai, “Phenomenological incorporation of nonlinear dendritic integration using integrate-and-fire neuronal frameworks”, PLoS ONE, 8 (1), e53508, 2013.
12. D. Zhou, Y. Sun, A.V. Rangan and D. Cai, “Spectrum of Lyapunov exponents of non-smooth dynamical systems ofintegrate-and-fire type”, J. Comput. Neurosci., 28 (2), 229-245, 2010.
13.D. Zhou, A.V. Rangan, Y. Sun and D. Cai, “Network-induced chaos in integrate-and-fire neuronal ensembles”,Phys. Rev. E, 80 (3), 031918, 2009.
14.D. Zhou, A.C. Shi and P. Zhang, “Numerical simulation of phase separation coupled with crystallization”, J. Chem. Phys., 129 (15), 154901, 2008.
15.D. Zhou, P. Zhang and W. E, “Modified models of polymer phase separation”, Phys. Rev. E, 73 (6), 061801, 2006.
