博士生导师 实验室主页:https://www.psy.pku.edu.cn/szdw/qzjy/jsyjy/ws/index.htm 1987-1990: 北京师范大学物理系 普通物理学士 1990-1992:北京师范大学物理系 广义相对论硕士 1992-1995:北京师范大学物理系 统计物理博士 |
担任职务:
北京大学心理与认知科学学院教授
北京大学定量生物学中心教授
研究方向:
计算神经科学与类脑计算
研究兴趣:
通过和认知科学家、神经科学家、信息科学家等合作,用数理方法和计算机仿真来构建神经系统加工信息的计算模型,阐明大脑处理信息的一般性原理,并在此基础上发展类脑的人工智能算法
工作经历:
1995-1997:香港科技大学物理系 博士后
1997-1998:比利时林堡大学物理系 博士后
1998-2000:日本理化学所-脑科学所 博士后
2000-2003:英国谢菲尔德大学计算机系 讲师
2003-2008:英国萨斯克斯大学信息工程系 高级讲师
2008-2011:中国科学院神经科学研究所 研究员
2011-2017:北京师范大学“认知神经科学与学习”国家重点实验室 教授
2018-2020:北京大学信息科学技术学院 教授
2021-至今:北京大学心理与认知科学学院 教授
代表性文章:
Xiaohan Lin#, Xiaolong Zou#, Zilong Ji, Tiejun Huang;Si Wu*, Yuanyuan Mi*, A brain-inspired computational model for spatio-temporal information processing,Neural Networks, 2021, 143:74-87.
Xingsi Dong#, Tianhao Chu#, Tiejun Huang, Zilong Ji*, Si Wu*. Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks. NeurIPS 2021.
W. Zhang, H. Wang, A. Chen, Y. Gu, T. S. Lee, KYM Wong*, S. Wu*(2019). Complementary congruent and opposite neurons achieve concurrent multisensory integration and segregation. eLife 8: e43753.
X. Liu, X. Zou, Z. Ji, G. Tian, Y. Mi, T. Huang, KYM Wong, S. Wu*(2019). Push-pull feedback implements hierarchical information retrieval efficiently.NeurIPS, 2019.
W.H. Zhang,&S. Wu, B. Doiron, T.S. Lee. A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits.&NeurIPS, 2019.
Xiaolan Wang, C.C. Alan Fung, Shaobo Guan,Si Wu*, Michael E. Goldberg, Mingsha Zhang* (2016). Perisaccadic Receptive Field Expansion in the Lateral Intraparietal Area. Neuron, 90(2): 400–409.
W. Zhang, A. Chen, M. Rasch* andS. Wu* (2016). Decentralized multi-sensory information integration in neural systems.The Journal of Neuroscience, 36(2):532-547.
W. Zhang, H. Wang, KYM Wong, S. Wu*(2016). “Concurrent” and “Opposite” Neurons: Sisters for Multisensory Integration and Segregation.NeurIPS, 2016.
Wu, S*, Wong, KYM., Fung, CCA., Mi, Y., and Zhang, W. (2016). Continuous attractor neural networks: candidate of a canonical model for neural information representation.F1000 Invited Review, 66(16), 209-226.
Y. Yan, M. Rasch, M. Chen, X. Xiang, M. Huang,S. Wu and W. Li (2014). Perceptual training continuously refines neuronal population codes in primary cortex.Nature Neuroscience17: 1380–1387. doi:10.1038/nn.3805.
Y. Mi, C. C. Alan Fung, K. Y. Michael Wong,S.Wu*(2014).Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural NetworksNeurIPS, 2014.
Y. Mi , X. Liao , X. Huang , L. Zhang , W. Gu, G. Hu* and S. Wu*(2013). Long-Period Rhythmic Synchronous Firing in a Scale-Free Network.Proc. Natl. Acad. Sci. USA&110:E4931-4936.
L. Xiao, M. Zhang, D. Xing, P-J. Liang and S. Wu* (2013). Shift of Encoding Strategy in Retinal Luminance Adaptation: from Firing Rate to Neural Correlation.Journal of Neurophysiology 110:1793-1803. doi:10.1152/jn.00221.2013.
Tsodyks, M. and Wu, S* (2013). Short-term synaptic plasticity. Scholarpedia, 8(10):3153.
C. C. Fung, K. Y. Michael Wong, H. Wang and S. Wu* (2012). Dynamical Synapses Enhance Neural Information Processing: Gracefulness, Accuracy and Mobility.Neural Computation 24 (5): 1147-1185, 2012.
C. C.Fung, K.Y.Michael Wong and S. Wu* (2010). A Moving Bump in a Continuous Manifold: A Comprehensive Study of the Tracking Dynamics of Continuous Attractor Neural Networks. Neural Computation, v.22, p.752-792.
C. C. Fung, K. Y. Michael Wong, H. Wang and S.Wu* (2010). Attractor Dynamics with Synaptic Depression. NeurIPS 2010.
D. Chen, S. Li, Z. Kourtzi and S. Wu* (2010). Behavior-constrained support vector machines for fMRI data analysis. IEEE Trans. Neural Networks. v. 21, 1680-1685.
C. C.Fung, K.Y.Michael Wong and S. Wu* (2008). Tracking Changing Stimuli in Continuous Attractor Neural Networks. NeurIPS 2008.
S. Wu& and S. Amari (2005). Computing with Continuous Attractors: Stability and On-Line Aspects. Neural Computation, v.17, 2215-2239.
S. Wu and K. Y. Michael Wong and B. Li. (2002). A Dynamic Call Admission Policy for Precision QoS Guarantee Using Stochastic Control for Mobile Wireless Networks. IEEE/ACM Transactions on Networking, v.10, p.257-271.
S. Wu, S. Amari and H. Nakahara. (2002). Population Coding and Decoding in a Neural Field: A Computational Study. Neural Computation, v14, no.5, p.999-1026.
S. Wu and S. Amari. (2002). Neural Implementation of Bayesian Inference in Population Codes. NeurIPS 2002.
S. Wu, H. Nakahaara, N. Murata and S. Amari. (2000). Population Decoding Based on an Unfaithful Model. ;NeurIPS 2000.
S. Amari and S. Wu (1999). Improving Support Vector Machine Classifiers by Modifying Kernel Functions. Neural Networks, v.12, p.783-789, 1999.
获奖情况:
无
其它成果:
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