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北京师范大学认知神经科学与学习国家重点实验室导师教师师资介绍简介-王文旭

本站小编 Free考研考试/2020-04-21

王文旭
职称:教授
研究领域 :复杂性科学、行为决策和脑科学交叉
电话:**
通讯地址:北京师范大学,科技楼B517
邮编:100875
电子邮件:wenxuwang@bnu.edu.cn
课题组网址:http://sss.bnu.edu.cn/~wenxuw

简 介
研究方向
研究人员
论文成果
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王文旭,教授,主要从事复杂系统、群体行为和脑科学方面的交叉科学研究,系统地研究了决策过程中的博弈和非理性行为,提出了基于压缩感知理论的复杂系统重构方法、复杂非线性系统的可控性理论、复杂系统的临界现象和同步行为等。研究成果发表于Nature CommunicationsProc. Natl. Acad. Sci. USAPhysics ReportsPhysical Review LettersPhysical Review XJournal of Royal Society Interface等期刊,共发表论文120余篇,成果被SCI他引4000余次,其中4篇入选ESI(1%)高被引论文,10篇论文被引用超过100次,个人H指数35。获得教育部自然科学一等奖一项,主持国家自然科学基金重点项目一项2015年入选北京市科技新星,201420152016连续三年入选Elsevier中国高被引。担任Scientific ReportsRoyal Society Open ScienceFrontiers of Computer Science等期刊编委,担任Nature CommunicationsPhysical Review Letters等30 多个学术期刊审稿人。
目前主要的研究领域:(i)与神经退行性疾病相关的科学问题,包括老年痴呆症的早期诊断和干预、基因风险、空间编码和导航能力受损、行为特征与脑损伤之间的因果关系等;(ii)决策行为的神经机制和无创干预,包括非理性决策行为的神经功能环路、合作和利他行为的神经机制、无创神经干预方法引导决策行为等。

代表性论文(*为通讯作者)
1. X.-Y. Yan, W.-X. Wang*, Z.-Y. Gao*, and Y.-C. Lai*, "Universal model of individual and population mobility on diverse spatial scales", Nature Communications 8, 1639 (2017). Research highlights:
https://www.sciencedaily.com/releases/2017/11/**8.htm
https://phys.org/news/2017-11-human-mobility-scalability-requires.html http://www.sciencenewsline.com/news/20**015.html http://www.nsfc.gov.cn/publish/portal0/tab434/info72105.htm
2. R. Li, L. Dong, J. Zhang*, X. Wang, W.-X. Wang*, Z. Di, and H. E. Stanley*, "Simple spatial scaling rules behind complex cities", Nature Communications 8, 1841 (2017).
3. B. Podobnik*, M. Jusup, Z. Tiganj, W.-X. Wang, J. M. Buldu, and H. E. Stanley*, “Biological conservation law as an emerging functionality in dynamical neuronal networks”, Proc. Natl. Acad. Sci. USA 114, 11826-11831 (2017).
4. X. Han, S. Cao, Z. Shen, B. Zhang*, W.-X. Wang*, R. Cressman, and H. E. Stanley*, “Emergence of Communities and Diversity in Social Networks”, Proc. Natl. Acad. Sci. USA 114, 2887-2891 (2017).
5. W.-X. Wang, Y.-C. Lai*, and C. Grebogi, “Data Based Identification and Prediction of Nonlinear and Complex Dynamical Systems”, Physics Reports 664, 1 (2016).
6. Z. Shen,W.-X. Wang*, Y. Fan, Z. Di, and Y.-C. Lai, “Reconstructing propagation networks with natural diversity and identifying hidden sources”,Nature Communications5, 4323 (2014).
7. Z. Yuan, C. Zhao, Z. Di, W.-X. Wang*, and Y.-C. Lai, “Exact controllability of complex networks”, Nature Communications 4, 2447 (2013).
8. Le-Zhi Wang, Ri-Qi Su, Zi-Gang Huang, Xiao Wang, Wen-Xu Wang, Celso Grebogi, and Ying-Cheng Lai*, “A geometrical approach to control and controllability of nonlinear dynamical networks”, Nature Communications 7, 11323 (2016).
9. X. Han, Z. Shen, W.-X. Wang*, and Z. Di, “Robust reconstruction of complex networks from sparse data”, Phys. Rev. Lett. 114, 028701 (2015).
10. X.-Y. Yan, C. Zhao, Y. Fan, Z. Di, and W.-X. Wang*, “Universal predictability of mobility patterns in cities”, J. R. Soc. Interface 11, ** (2014). (cover paper.)
11. W.-X. Wang*, R. Yang*, Y.-C. Lai, V. Kovanis, and C. Grebogi, “Predicting Catastrophes in Nonlinear Dynamical Systems by Compressive Sensing”, Phys. Rev. Lett. 106, 154101 (2011).
12. W.-X. Wang*, Y.-C. Lai, C. Grebogi, and J.-P. Ye, “Network Reconstruction Based on Evolutionary-Game Data via Compressive Sensing”, Phys. Rev. X 1, 021021 (2011).
13. J. Ren*, W.-X. Wang, B. Li and Y.-C. Lai, “Noise bridges dynamical correlation and topology in coupled oscillator networks”, Phys. Rev. Lett. 104, 058701 (2010).
14. W.-X. Wang, B.-H. Wang*, B. Hu, G. Yan, and Q. Ou, “General dynamics of topology and traffic on weighted technological networks”, Phys. Rev. Lett. 94, 188702 (2005).











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