Si Wu

Affiliations: 
Institute of Neuroscience Chinese Academy of Sciences, Beijing, China 
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"Si Wu"
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Yuwei Cui research assistant University of Maryland
Gengshuo Tian research assistant
Shaobo Guan research assistant 2010- ION, CAS
Wenhao Zhang grad student
Sheng Li grad student 2003-2006 University of Sussex
Zilong Ji grad student 2015-2020 Beijing Normal University
Libo Ma post-doc CAS
Malte J. Rasch post-doc 2009-2011 CAS
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Publications

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Zhang WH, Wu S, Josić K, et al. (2023) Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons. Nature Communications. 14: 7074
Zou X, Ji Z, Zhang T, et al. (2023) Visual information processing through the interplay between fine and coarse signal pathways. Neural Networks : the Official Journal of the International Neural Network Society. 166: 692-703
Liu X, Zou X, Ji Z, et al. (2022) Neural feedback facilitates rough-to-fine information retrieval. Neural Networks : the Official Journal of the International Neural Network Society. 151: 349-364
Li AA, Wang F, Wu S, et al. (2022) Emergence of probabilistic representation in the neural network of primary visual cortex. Iscience. 25: 103975
Lin X, Zou X, Ji Z, et al. (2021) A brain-inspired computational model for spatio-temporal information processing. Neural Networks : the Official Journal of the International Neural Network Society. 143: 74-87
Wang XJ, Hu H, Huang C, et al. (2020) Computational neuroscience: a frontier of the 21 century. National Science Review. 7: 1418-1422
Wang C, Lian R, Dong X, et al. (2020) A Neural Network Model With Gap Junction for Topological Detection. Frontiers in Computational Neuroscience. 14: 571982
Ji Z, Zou X, Huang T, et al. (2020) Unsupervised Few-Shot Feature Learning via Self-Supervised Training. Frontiers in Computational Neuroscience. 14: 83
Tian G, Li S, Huang T, et al. (2020) Excitation-Inhibition Balanced Neural Networks for Fast Signal Detection. Frontiers in Computational Neuroscience. 14: 79
Duan Q, Jing Z, Zou X, et al. (2020) Spiking neurons with spatiotemporal dynamics and gain modulation for monolithically integrated memristive neural networks. Nature Communications. 11: 3399
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