王大輝(北京師範大學教授)

王大輝(北京師範大學教授)

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王大輝,男,博士,北京師範大學系統科學學院教授。

基本介紹

  • 中文名:王大輝
  • 畢業院校北京師範大學
  • 學位/學歷:博士
  • 職業:教師
  • 專業方向:系統理論
  • 任職院校:北京師範大學
  • 職稱:教授
人物經歷,研究方向,主講課程,研究興趣,研究資助,論文,大百科全書詞條,社會任職,

人物經歷

  • 1993.9-2002.7: 北京師範大學 系統理論專業,學士、博士
  • 2007.8-2008.9:耶魯大學醫學院神經生物系,訪問學者
  • 2011.8- 北京師範大學系統科學系,教授
  • 2005.8-2011.7:北京師範大學系統科學系,副教授
  • 2002.9-2005.7:北京師範大學系統科學系,講師
  • 2012- 北京師範大學認知神經科學與學習國家重點實驗,教授

研究方向

神經系統的模擬和理論分析,特別是神經系統的高級認知功能的理論分析和計算機模擬

主講課程

非線性動力學,研究生學位課程
熱力學與統計物理,本科生專業課程

研究興趣

從事複雜系統基礎理論及其套用研究,特別關注神經系統的複雜性研究,目的是以神經環路為基礎建立計算模型揭示實驗中觀察到的神經系統動力學行為的機制,展示神經系統達成特定功能的機理,並嘗試將相關的機制套用於工程問題。研究題目包括決策的神經動力學機制、風險感知及其如何影響決策的神經機制、知覺學習的計算模型、視覺工作記憶容量的機制、參數工作記憶(觸覺振動頻率)的容量等。部分研究成果發表在Journal of Neuroscience, Plos computational Biology, Complexity, Frontiers in Computational Neuroscience, Neurocomputing等雜誌。

研究資助

1. 國家重點研發計畫-變革性技術關鍵科學問題專項項目:“大腦計算同化平台與新一代類腦智慧型算法理論”( 2019YFA0709503)總經費2163萬,個人經費40萬,參與,(2020.6-2025.5)
2. 北京市科委腦認知與類腦計算專項:皮層下視覺通路快速信息加工機制及運動目標識別算法研究(批准號z171100000117007)經費400萬,主持,(2017.1—2018.12)
3. 國家自然科學基金面上項目:視知覺學習神經機制的計算模型研究(31671077)經費 62萬,主持, (2017.1-2020.12)
4. 國家自然科學基金NSFC—RS合作研究項目:關於獎賞、厭惡和風險決策的腦迴路動力學模型研究(31511130066),經費9.5萬,主持,(2015.3-2017.3)
5. 國家自然科學基金面上項目:風險感知的神經計算機制研究 (31271169),經費80萬,主持,(2013.1-2016.12)
6. 國家自然科學基金重大研究計畫:記憶和記憶障礙的神經環路模型研究(91132702) 80萬(參加) (2012.1-2014.12).
7. 國家自然科學基金面上項目:Gamma振盪中神經元相位關係的機制研究(60974075)30萬,主持,(2010.1-2012.12).
8. 國家自然科學基金面上項目:大腦皮層功能分區的自組織機制研究(70471080) 14萬, 主持, (2005.1-2007.12).
9. 教育部留學回國人員科研啟動基金:Gamma振盪中興奮性神經元領先抑制性神經元相位的機制研究 2萬,主持,(2009.10-2010.10)

論文

1. Zanin,M*.,…,Wang,D.H...., Schmidt,H.H.W.(2021)An Early Stage Researcher’s Primer on Systems Medicine Terminology. Network and Systems Medicine 2021, 4.1. DOI: 10.1089/nsm.2020.0003
2. Yu, L., Wang, C., Wu, S., & Wang, D. H*. (2020). Communication speeds up but impairs the consensus decision in a dyadic colour estimation task. Royal Society Open Science, 7(7), 191974.
3. Hongzhi You, Mengya Zhang,Da-Hui Wang*(2020) Neural mechanism underlying risk attitude and probability distortion: One two-stage model of valuation and choice. Neurocomputing. https://doi.org/10.1016/j.neucom.2019.09.021
4. Haotian Wang, Xinghui Xia*, Ran Liu, Zixuan Wang, Yawei Zhai, Hui Lin, Wu Wen, Yang Li, Da-Hui Wang*, Zhifeng Yang, Derek Muir, and John C. Crittenden (2019) Dietary uptake patterns affect bioaccumulation and biomagnification of hydrophobic organic compounds in fish. Environmental Science and Technology.53:4274-4284.
5. Xiaolong Zou, Zilong Ji, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Dahui Wang and Si Wu (2018). Learning, Storing, and Disentangling Correlated Patterns in Neural Networks. In: Cheng L., Leung A., Ozawa S. (eds) Neural Information Processing. ICONIP 2018. Lecture Notes in Computer Science, vol 11303. Springer, Cham.(Best Paper)
6. Ruina Dai, Ran Liu, Tao Liu, Zong Zhang, Xiang Xiao, Peipei Sun, Xiaoting Yu,Dahui Wang*, and Chaozhe Zhu*(2018).Toward a holistic view of interpersonal sensorimotor synchronization: a behavioral model and neural marker of joint tapping. Social Cognitive and Affective Neuroscience 18:1141-1154.
7. Luozheng Li YuanYuan Mi Wenhao Zhang Da-Hui Wang*, Si Wu (2018). Dynamic information encoding with dynamic synapses in neural adaptation. Front. Comput. Neurosci. 12:16. doi: 10.3389/fncom.2018.00016
8. Huanyuan Zhou,KongFatt Wong-Lin, and Da-Hui Wang*(2018). Parallel excitatory and inhibitory neural circuit pathways underlie reward-based phasic neural responses. Complexity, Volume 2018, Article ID 4356767, 20 pages
9. Wong-Lin K, Wang DH, Moustafa AA, Cohen JY, Nakamura K (2017). Toward a multiscale modeling framework for understanding serotonergic function. Journal of Psychopharmacology (Oxford, England). 31(9), pp 1121-1136.
10. Hongzhi You, Da-Hui Wang (2017) Neuromorphic Implementation of Attractor Dynamics in a Two-variable Winner-take-all Circuit with NMDARs: A Simulation Study. Frontiers in Neuroscience, 11(40).
11. Xiaolong Zou, Da-Hui Wang* (2016). On the Phase Relationship between Excitatory and Inhibitory Neurons in Oscillation. Frontiers in Computational Neuroscience. DOI: 10.3389/fncom.2016.00138.
12. 余柳濤、鮑建樟、陳清華、王大輝*(2016)個體自信度對雙人決策的影響.心理學報48 (8): 1013-1025
13. Yu, L. T. and Wu, S. and Wang, D. H* (2016) Neural implementation of categorization in a motion discrimination task. Neurocomputing. 216: 709-717 http://dx.doi.org/10.1016/ j.neucom. 2016.08.038
14. Hongzhi You; Da-Hui Wang (2016) Neuromorphic Implementation of Attractor Dynamics in Decision Circuit with NMDARs. ISCAS2016
15. Dominic Standage; Da-Hui Wang; Richard P. Heitz; Patrick Sime (2015) Toward a unified view of the speed-accuracy trade-off. Frontiers in Neuroscience, 9
16. Standage Dominic*, Wang Da-Hui, Blohm Gunnar. Neural dynamics implement a flexible decision bound with a fixed firing rate for choice: a model-based hypothesis. Frontiers in Neuroscience (2014) fnins.2014.00318.
17. Yuanyuan Mi, Luozheng Li, Da-Hui Wang, Si Wu*. A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System. (2014) Neural Information Processing Systems
18. Dominic Standage*; Hongzhi You; Da-Hui Wang*; Michael C. Dorris(2013) Trading speed and accuracy by coding time: a coupled-circuit cortical model. PLoS Computational Biology, 9(4)
19. Hongzhi You; Da-Hui Wang*(2013) Dynamics of Multiple-choice Decision Making. Neural Computation, 25(8):2108-2145
20. Da-Hui Wang*; KongFatt Wong-lin*(2013)Comodulation of dopamine and serotonin on prefrontal cortical rhythms: a theoretical study. Frontiers in Integrative Neuroscience, 7(54)
21. Ziqaing Wei, Xiaojing Wang, DaHui Wang*. From Distributed Resources to Limited Slots in Multiple-item Working Memory: a Spiking Network Model with Normalization. Journal of Neuroscience 32(33):11228-11240
22. Jiawei Chen, Liujun Chen, Yan Liu, Dahui Wang, Yougui Wang. Chinese family name distributions in multiple scales Physica A 390(2011):3938-3943
23. Hongzhi You, Yan Meng, Di Huan, Da-Hui Wang*. The neural dynamics for hysteresis in visual perception. Neurocomputing (2011) 74(17): 3502-3508.
24. Xiaocong Gan, Dahui Wang, Zhangang Han, A Growth Model to Explain Power-law in N-tuple Zipf Analysis, Physica A 390(2011)792-800
25. Standage D, You H, Wang D-H and Dorris MC (2011) Gain modulation by an urgency signal controls the speed–accuracy tradeoff in a network model of a cortical decision circuit. Front. Comput. Neurosci.5:7.doi: 10.3389/ fncom.2011.00007
26. Ziqiang Wei, Yiguang Hong, Dahui Wang*. The Phase Diagram and the Pathway of Phase Transition for Traffic Flow in a Circular One-lane Roadway. Physica A 388:1665-1672 (2009)
27. Liujun Chen, Weiting Chen, Zengru Di, Dahui Wang*. Critical Phenomenon Induced by Noise in the BTW Sandpile. Fractals 17(2):227-232(2009)
28. Lei Chai, Dahui Wang, Jiawei Chen, Menghui Li, Zengru Di*. Cluster splitting transition in a markov chain model for labor division. International Journal of Bifurcation and Chaos. 18(2):593-598(2008)
29. Liang Gao, Jinshan Zhao, Zengru Di, Dahui Wang*. Asymmetry between Odd and Even Node Weight in Complex Networks. Physica A, 376(2007)687-691.
30. Dahui Wang*, Ziqiang Wei, Ying Fan. Hysteresis phenomena of the intelligent driver model for traffic flow. Phys. Rev. E 76, 016105 (2007)
31. Menghui Li, Ying Fan, Dahui Wang, Daqing Li, Jinshan Wu, Zengru Di, Small-world effect induced by weight randomization on regular networks,Physics Letters A Volume 364, Issue 6(14)2007: 488-493
32. Menghui Li, Jinshan Wu, Dahui Wang, Tao Zhou, Zengru Di, Ying Fan. Evolving model of weighted networks inspired by scientific collaboration networks Physica A, 375(2007)355-364.
33. Dahui Wang*, Weiting Chen, Qiang Yuan, Zengru Di. Static statistical approach to the BTW sandpile model, Fractals, Vol. 14, No. 1 (2006) 55-61.
34. Wang Dahui, Zhou Li, Di Zengru. Bipartite producer–consumer networks and the size distribution of firms. Physica A 363 (2006) 359–366.
35. Menghui Li, Dahui Wang, Ying Fan, Zengru Di, Jinshan Wu*. Modeling weighted networks using connection count. New Journal of Physics, 8, 2006:72.
36. Dahui Wang*,Menghui Li, Zengru Di. True reason for Zipf’s law in language, Physica A 358 (2005) 545–550.
37. Honggang Li*, Dahui Wang, Xianggui Chen. Job match and income distribution, Physica A, 341, (2004) 569-574.
38. 王大輝,李紅剛.R&D投資與經濟成長.北京師範大學學報(自然科學)2005,41(5):544-550
39. 王大輝,王永哲,袁強. Haken燈塔模型的一個改進. 北京師範大學學報(自然科學)2006, 42(5):548-550
40. 孟艷,張丹,王大輝. 神經元簇狀放電鋒電位數的研究. 北京師範大學學報(自然科學版)2011,47(1): 97-100
41. 唐蓮,王大輝. 關於Zipf-Mandelbrot律中參數ρ的一種解釋.北京師範大學學報(自然科學版)2011,47(1):104-107

大百科全書詞條

1. 王大輝:吸引子神經網路. 大百科全書.理學.物理學.神經生物物理學(2020)
2. 王大輝:遞歸神經網路. 大百科全書.理學.物理學.神經生物物理學(2020)

社會任職

中國自動化學會生物控制論與生物醫學工程專委會秘書長,Journal of Neuroscience Method, BMC Neuroscience, Frontiers in Computational Neuroscience 等雜誌編委

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