基本情况

王大辉，北京师范大学系统科学教授，博士生导师。从事复杂系统基础理论及其应用研究，以神经环路为基础建立计算模型揭示神经系统动力学行为的机制，展示神经系统达成特定功能的机理。揭示了神经系统执行认知功能所依赖的信息处理和神经计算机制。发现神经连接的广度和强度决定了视觉工作记忆容量的机制，高阈值快发放抑制性神经元参与网络活动增强Gamma频段的神经振荡，揭示了知觉过程中典型现象如迟滞现象、速度-准确度替代、风险态度和主观概率的神经计算机制。目前专注于通过全脑神经网络模型来实现认知任务，揭示认知功能的全脑机制以及智能的神经基础。成果发表在Journal of Neuroscience, Plos computational Biology, Neuroscience Bulletin, Current psychology, Cognitive Computation, Frontiers in Computational Neuroscience, Neurocomputing等杂志。目前为止已主持6项国家自然科学基金项目,1项北京市科委脑认知与类脑计算专项课题。

 

研究领域

神经系统复杂性研究/大脑的计算建模

 

教育背景

1999年至2002年 博士，北京师范大学系统科学

1997年至1999年 硕士，北京师范大学物理系系统理论

1993年至1997年 学士，北京师范大学物理系

 

工作经历

2012年至今        教授，北京师范大学认知神经科学与学习国家重点实验

2011年至今        教授，北京师范大学系统科学学院

2007年9月至2008年9月 访问学者/研究科学家，耶鲁大学医学院神经生物系（汪小京实验室）

2007年至今        博士生导师，北京师范大学北京师范大学

2005年至2011年     副教授，北京师范大学系统科学系

2002年至2005年     讲师，北京师范大学系统科学系

 

论文发表


  1. Jinhao Yang,Yiming Ding, Zengru Di, DaHui Wang (2024) “All-or-none” dynamics and local-range dominated interaction leading to criticality in neural systems. Physica A 638 129638.
  2. Liu, Z., Wang, DH. (2024). Reward-Dependent and Locally Modulated Hebbian Rule. In: Luo, B., Cheng, L., Wu, ZG., Li, H., Li, C. (eds) Neural Information Processing. ICONIP 2023. Communications in Computer and Information Science, vol 1961. Springer, Singapore. https://doi.org/10.1007/978-981-99-8126-7_18
  3. Zhao S, Zhou J, Zhang Y, Wang DH. γ and β band oscillation in working memory given sequential or concurrent multiple items: a spiking network model. eNeuro. 2023 Nov 7;10(11) doi: 10.1523/ENEURO.0373-22.2023.
  4. CongCong Du,Xuan Wang, Zhangsen Wang, DaHui Wang*(2023) Data-driven Dynamics Reconstruction using RBF Network. Mach. Learn.: Sci. Technol. https://doi.org/10.1088/2632-2153/acec31
  5. Zhao, S., You, H., Zhang, RY. . DaHui Wang*(2023) An Interpretable Neuro-symbolic Model for Raven’s Progressive Matrices Reasoning. Cogn Comput 15, 1703–1724. https://doi.org/10.1007/s12559-023-10154-3
  6. Lei L, Zhang M, Li T, Dong Y and Wang D-H* (2023) A spiking network model for clustering report in a visual working memory task. Front. Comput. Neurosci. 16:1030073. doi: 10.3389/fncom.2022.1030073
  7. Behera CK, Joshi A, Wang D-H, Sharp T and Wong-Lin K (2023) Degeneracy and stability in neural circuits of dopamine and serotonin neuromodulators: A theoretical consideration. Front. Comput. Neurosci. 16:950489.doi: 10.3389/fncom.2022.950489
  8. Liu, Z., Yan, Y. & Wang, DH*. Category representation in primary visual cortex after visual perceptual learning. Cogn Neurodyn (2023). https://doi.org/10.1007/s11571-022-09926-8
  9. Xuan Wang, Zhenfeng Shu,Quansheng He, Xiaowen Zhang, Luozheng Li,Xiaoxue Zhang,Liang Li,Yujie Xiao,Bo Peng,Feifan Guo, Da-Hui Wang*, Yousheng Shu*. (2023) Functional Autapses Form in Striatal Parvalbumin Interneurons but not Medium Spiny Projection Neurons. Neurosci. Bull. 2023, 39(4):576–588 https://doi.org/10.1007/s12264-022-00991-x
  10. Aihua Yin, Weiwen Lu, Sidong Wang, Hongzhi You, Ruyuan Zhang, Dahui Wang, Zonglei Zhen & Xiaohong Wan (2022). Visual Perception Inference on Raven’s Progressive Matrices by Semi-supervised Contrastive Learning. In: Fang, L., Povey, D., Zhai, G., Mei, T., Wang, R. (eds) Artificial Intelligence. CICAI 2022. Lecture Notes in Computer Science, vol 13605. Springer, Cham. https://doi.org/10.1007/978-3-031-20500-2_33
  11. L.-Z. Li and D.-H. Wang*, Adaptive neurons compute confidence in a decision network. Scientific Reports, (2021) 11:22190
  12. Wang, C., Deng, H., Dong, Y. Zhang, X.M., Wang, D.H.*. The capacity and cognitive processing of vibrotactile working memory for frequency. Current Psychology (2023) 42:9006–9016. https://doi.org/10.1007/s12144-021-02212-6
  13. 王春地,王大辉*.(2021).振动触觉频率信息的工作记忆容量及存储机制.心理科学进展 29(7): 1141–1148.
  14. 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
  15. 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.
  16. 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. 375:32-42. https://doi.org/10.1016/j.neucom.2019.09.021
  17. 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.
  18. 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)
  19. Ruina Dai, Ran Liu, Tao Liu, Zong Zhang, Xiang Xiao, Peipei Sun, Xiaoting Yu,Dahui Wang*, and Chaozhe Zhu*(2018). Holistic cognitive and neural processes: a fNIRS-hyperscanning study on interpersonal sensorimotor synchronization. Social Cognitive and Affective Neuroscience 18:1141-1154.
  20. 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