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Si Wu 0001
吴思
Person information
- unicode name: 吴思
- affiliation: Peking University, IDG/McGovern Institute for Brain Research, Beijing, China
- affiliation (former): Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning, China
- affiliation (former): Chinese Academy of Sciences, Institute of Neuroscience, Shanghai, China
- affiliation (former): University of Sussex, Department of Informatics, UK
- affiliation (former): Sheffield University, Department of Computer Science, UK
- affiliation (former): RIKEN Brain Science Institute, Wakō-shi, Japan
Other persons with the same name
- Si Wu — disambiguation page
- Si Wu 0002
— South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (and 1 more)
- Si Wu 0003
- Si Wu 0004 — Nanyang Technological University , Laboratories for Information Technology, Singapore (and 1 more)
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2020 – today
- 2024
- [j44]Yao Lu
Learning sequence attractors in recurrent networks with hidden neurons. Neural Networks 178: 106466 (2024) - [c42]Chaoming Wang, Tianqiu Zhang, Sichao He
A differentiable brain simulator bridging brain simulation and brain-inspired computing. ICLR 2024 - [i7]Chaoming Wang, Muyang Lyu, Tianqiu Zhang, Sichao He, Si Wu:
A Differentiable Approach to Multi-scale Brain Modeling. CoRR abs/2406.19708 (2024) - 2023
- [j43]Xiaolong Zou, Zilong Ji, Tianqiu Zhang, Tiejun Huang
Visual information processing through the interplay between fine and coarse signal pathways. Neural Networks 166: 692-703 (2023) - [c41]Xingsi Dong, Si Wu:
Neural Sampling in Hierarchical Exponential-family Energy-based Models. NeurIPS 2023 - [c40]Xiaohan Lin, Liyuan Li, Boxin Shi, Tiejun Huang, Yuanyuan Mi, Si Wu:
Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics. NeurIPS 2023 - [c39]Xiaolong Zou, Zhikun Chu, Qinghai Guo, Jie Cheng, Bo Ho, Si Wu, Yuanyuan Mi:
Learning and processing the ordinal information of temporal sequences in recurrent neural circuits. NeurIPS 2023 - [c38]Junfeng Zuo, Xiao Liu, Ying Nian Wu, Si Wu, Wenhao Zhang:
A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation. NeurIPS 2023 - [i6]Xingsi Dong, Si Wu:
Neural Sampling in Hierarchical Exponential-family Energy-based Models. CoRR abs/2310.08431 (2023) - [i5]Chaoming Wang, Tianqiu Zhang, Sichao He, Yifeng Gong, Hongyaoxing Gu, Shangyang Li, Si Wu:
A differentiable brain simulator bridging brain simulation and brain-inspired computing. CoRR abs/2311.05106 (2023) - 2022
- [j42]Xiaolong Zou
Towards a New Paradigm for Brain-inspired Computer Vision. Int. J. Autom. Comput. 19(5): 412-424 (2022) - [j41]Xiao Liu
Neural feedback facilitates rough-to-fine information retrieval. Neural Networks 151: 349-364 (2022) - [c37]Tianhao Chu, Zilong Ji, Junfeng Zuo, Wenhao Zhang, Tiejun Huang, Yuanyuan Mi, Si Wu:
Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells. NeurIPS 2022 - [c36]Xingsi Dong, Zilong Ji, Tianhao Chu, Tiejun Huang, Wenhao Zhang, Si Wu:
Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks. NeurIPS 2022 - [c35]Wenhao Zhang, Ying Nian Wu, Si Wu:
Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors. NeurIPS 2022 - [i4]Tiejun Huang, Yajing Zheng, Zhaofei Yu, Rui Chen, Yuan Li, Ruiqin Xiong, Lei Ma, Junwei Zhao, Siwei Dong, Lin Zhu, Jianing Li, Shanshan Jia, Yihua Fu, Boxin Shi, Si Wu, Yonghong Tian:
1000x Faster Camera and Machine Vision with Ordinary Devices. CoRR abs/2201.09302 (2022) - 2021
- [j40]Yunpeng Guo, Xiaolong Zou, Yifan Hu, Yifei Yang
A Marr's Three-Level Analytical Framework for Neuromorphic Electronic Systems. Adv. Intell. Syst. 3(11): 2100054 (2021) - [j39]Xiaohan Lin
A brain-inspired computational model for spatio-temporal information processing. Neural Networks 143: 74-87 (2021) - [c34]Chaoming Wang, Yingqian Jiang, Xinyu Liu, Xiaohan Lin, Xiaolong Zou, Zilong Ji, Si Wu:
A Just-In-Time Compilation Approach for Neural Dynamics Simulation. ICONIP (3) 2021: 15-26 - [c33]Xingsi Dong, Tianhao Chu, Tiejun Huang, Zilong Ji, Si Wu:
Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks. NeurIPS 2021: 16791-16804 - 2020
- [j38]Gengshuo Tian
Excitation-Inhibition Balanced Neural Networks for Fast Signal Detection. Frontiers Comput. Neurosci. 14: 79 (2020) - [j37]Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu:
Unsupervised Few-Shot Feature Learning via Self-Supervised Training. Frontiers Comput. Neurosci. 14: 83 (2020) - [j36]Chaoming Wang, Risheng Lian, Xingsi Dong, Yuanyuan Mi, Si Wu:
A Neural Network Model With Gap Junction for Topological Detection. Frontiers Comput. Neurosci. 14: 571982 (2020) - [c32]Zilong Ji, Xiaolong Zou, Xiaohan Lin, Xiao Liu, Tiejun Huang, Si Wu:
An Attention-Driven Two-Stage Clustering Method for Unsupervised Person Re-identification. ECCV (28) 2020: 20-36 - [i3]Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu:
Vision at A Glance: Interplay between Fine and Coarse Information Processing Pathways. CoRR abs/2009.05101 (2020)
2010 – 2019
- 2019
- [c31]Wenhao Zhang, Si Wu, Brent Doiron, Tai Sing Lee:
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits. NeurIPS 2019: 3799-3808 - [c30]Xiao Liu, Xiaolong Zou, Zilong Ji, Gengshuo Tian, Yuanyuan Mi, Tiejun Huang, K. Y. Michael Wong, Si Wu:
Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently. NeurIPS 2019: 5702-5711 - [c29]Gengshuo Tian
Excitation-Inhibition Balanced Spiking Neural Networks for Fast Information Processing. SMC 2019: 249-252 - [i2]Yuanyuan Mi, Xiaohan Lin, Xiaolong Zou, Zilong Ji, Tiejun Huang, Si Wu:
Spatiotemporal Information Processing with a Reservoir Decision-making Network. CoRR abs/1907.12071 (2019) - [i1]Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu:
Unsupervised Few-shot Learning via Self-supervised Training. CoRR abs/1912.12178 (2019) - 2018
- [j35]Luozheng Li, Yuanyuan Mi, Wenhao Zhang, Dahui Wang, Si Wu:
Dynamic Information Encoding With Dynamic Synapses in Neural Adaptation. Frontiers Comput. Neurosci. 12: 16 (2018) - [c28]Xiao Wang, Mingsha Zhang, Si Wu:
Peri-Saccadic Remapping Accounts for Visual Stability. ICCI*CC 2018: 561-566 - [c27]Xiaolong Zou, Zilong Ji, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Dahui Wang, Si Wu:
Learning, Storing, and Disentangling Correlated Patterns in Neural Networks. ICONIP (3) 2018: 506-514 - [c26]Zilong Ji, Xiaolong Zou, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Si Wu:
Neural Information Processing in Hierarchical Prototypical Networks. ICONIP (3) 2018: 603-611 - 2017
- [j34]Xiao Wang, Yan Wu, Mingsha Zhang, Si Wu:
Learning Peri-saccadic Remapping of Receptive Field from Experience in Lateral Intraparietal Area. Frontiers Comput. Neurosci. 11: 110 (2017) - [c25]Xiaolong Zou, Zilong Ji, Xiao Liu, Yuanyuan Mi, K. Y. Michael Wong, Si Wu:
Learning a Continuous Attractor Neural Network from Real Images. ICONIP (4) 2017: 622-631 - [c24]He Wang, Wenhao Zhang, K. Y. Michael Wong, Si Wu:
Encoding Multisensory Information in Modular Neural Networks. ICONIP (4) 2017: 658-665 - [c23]He Wang, Wenhao Zhang, K. Y. Michael Wong, Si Wu:
How the Prior Information Shapes Neural Networks for Optimal Multisensory Integration. ISNN (2) 2017: 128-136 - 2016
- [j33]Yuanyuan Mi, Xiaohan Lin
Neural Computations in a Dynamical System with Multiple Time Scales. Frontiers Comput. Neurosci. 10: 96 (2016) - [j32]L. T. Yu, Si Wu, D. H. Wang:
Neural implementation of categorization in a motion discrimination task. Neurocomputing 216: 709-717 (2016) - [c22]Luozheng Li, Wenhao Zhang, Yuanyuan Mi, Dahui Wang, Xiaohan Lin, Si Wu:
Dynamical information encoding in neural adaptation. EMBC 2016: 3060-3063 - [c21]Wenhao Zhang, He Wang, K. Y. Michael Wong, Si Wu:
"Congruent" and "Opposite" Neurons: Sisters for Multisensory Integration and Segregation. NIPS 2016: 3180-3188 - 2015
- [j31]Tao Wang
A Phenomenological Synapse Model for Asynchronous Neurotransmitter Release. Frontiers Comput. Neurosci. 9: 153 (2015) - 2014
- [j30]Lei Xiao
Response dynamics of bullfrog ON-OFF RGCs to different stimulus durations. J. Comput. Neurosci. 37(1): 149-160 (2014) - [c20]Yuanyuan Mi, Luozheng Li, Dahui Wang, Si Wu:
A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System. NIPS 2014: 352-360 - [c19]Yuanyuan Mi, C. C. Alan Fung, K. Y. Michael Wong, Si Wu:
Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks. NIPS 2014: 505-513 - 2013
- [j29]Danke Zhang
Concentration-Invariant Odor Representation in the Olfactory System by Presynaptic Inhibition. Comput. Math. Methods Medicine 2013: 507143:1-507143:6 (2013) - [j28]Lei Xiao
Adaptive neural information processing with dynamical electrical synapses. Frontiers Comput. Neurosci. 7: 36 (2013) - [j27]Danke Zhang
Nonlinear multiplicative dendritic integration in neuron and network models. Frontiers Comput. Neurosci. 7: 56 (2013) - [j26]C. C. Alan Fung
Resolution enhancement in neural networks with dynamical synapses. Frontiers Comput. Neurosci. 7: 73 (2013) - [j25]Danke Zhang
Design principles of the sparse coding network and the role of "sister cells" in the olfactory system of Drosophila. Frontiers Comput. Neurosci. 7: 141 (2013) - [j24]Si Wu, K. Y. Michael Wong
Neural information processing with dynamical synapses. Frontiers Comput. Neurosci. 7: 188 (2013) - [j23]Misha Tsodyks, Si Wu:
Short-term synaptic plasticity. Scholarpedia 8(10): 3153 (2013) - [c18]Wenhao Zhang, Si Wu:
Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively. NIPS 2013: 19-27 - 2012
- [j22]C. C. Alan Fung
Dynamical Synapses Enhance Neural Information Processing: Gracefulness, Accuracy, and Mobility. Neural Comput. 24(5): 1147-1185 (2012) - [j21]Wenhao Zhang, Si Wu:
Neural Information Processing with Feedback Modulations. Neural Comput. 24(7): 1695-1721 (2012) - [j20]Wenwu He, Si Wu:
A kernel-based Perceptron with dynamic memory. Neural Networks 25: 106-113 (2012) - [c17]Wenhao Zhang, Si Wu:
Neural Population Decoding in Short-Time Windows. IScIDE 2012: 56-63 - [c16]C. C. Alan Fung, K. Y. Michael Wong, Si Wu:
Delay Compensation with Dynamical Synapses. NIPS 2012: 1097-1105 - 2011
- [j19]Longwen Huang, Yuwei Cui, Danke Zhang
Impact of noise structure and network topology on tracking speed of neural networks. Neural Networks 24(10): 1110-1119 (2011) - [c15]Danke Zhang
Simple Models for Synaptic Information Integration. ICONIP (3) 2011: 210-216 - [c14]Kuijie Cai, Jihong Shen, Si Wu:
Erratum: Decision-Making in Drosophila with Two Conflicting Cues. ISNN (1) 2011: 1 - [c13]Kuijie Cai, Jihong Shen, Si Wu:
Decision-Making in Drosophila with Two Conflicting Cues. ISNN (1) 2011: 93-100 - [c12]Libo Ma, Malte J. Rasch, Si Wu:
Learning Variance Statistics of Natural Images. ISNN (2) 2011: 429-436 - 2010
- [j18]C. C. Alan Fung
A Moving Bump in a Continuous Manifold: A Comprehensive Study of the Tracking Dynamics of Continuous Attractor Neural Networks. Neural Comput. 22(3): 752-792 (2010) - [j17]Danmei Chen, Sheng Li
Behavior-constrained support vector machines for fMRI data analysis. IEEE Trans. Neural Networks 21(10): 1680-1685 (2010) - [c11]Longwen Huang, Si Wu:
Stimulus-Dependent Noise Facilitates Tracking Performances of Neuronal Networks. ISNN (1) 2010: 1-8 - [c10]C. C. Alan Fung, K. Y. Michael Wong, He Wang, Si Wu:
Attractor Dynamics with Synaptic Depression. NIPS 2010: 640-648
2000 – 2009
- 2009
- [c9]Si Wu, Shun-ichi Amari:
On the condition for fast neural computation. CDC 2009: 4487-4492 - 2008
- [j16]Si Wu, Kosuke Hamaguchi
Dynamics and Computation of Continuous Attractors. Neural Comput. 20(4): 994-1025 (2008) - [c8]C. C. Alan Fung, K. Y. Michael Wong, Si Wu:
Tracking Changing Stimuli in Continuous Attractor Neural Networks. NIPS 2008: 481-488 - 2007
- [j15]Peter Williams, Sheng Li
A Geometrical Method to Improve Performance of the Support Vector Machine. IEEE Trans. Neural Networks 18(3): 942-947 (2007) - [c7]Si Wu, Kosuke Hamaguchi
The Tracking Speed of Continuous Attractors. ISNN (1) 2007: 926-934 - 2006
- [c6]Si Wu, Jianfeng Feng, Shun-ichi Amari:
The Ideal Noisy Environment for Fast Neural Computation. ISNN (1) 2006: 1-6 - 2005
- [j14]Sheng Li
On the variability of cortical neural responses: a statistical interpretation. Neurocomputing 65-66: 409-414 (2005) - [j13]Si Wu, Shun-ichi Amari:
Computing with Continuous Attractors: Stability and Online Aspects. Neural Comput. 17(10): 2215-2239 (2005) - [c5]Peter Williams, Sheng Li, Jianfeng Feng, Si Wu:
Scaling the Kernel Function to Improve Performance of the Support Vector Machine. ISNN (1) 2005: 831-836 - 2004
- [j12]Si Wu, Shun-ichi Amari, Hiroyuki Nakahara
Information processing in a neuron ensemble with the multiplicative correlation structure. Neural Networks 17(2): 205-214 (2004) - 2003
- [j11]Shun-ichi Amari, Hiroyuki Nakahara
Synchronous Firing and Higher-Order Interactions in Neuron Pool. Neural Comput. 15(1): 127-142 (2003) - [j10]Si Wu, Danmei Chen, Mahesan Niranjan
Sequential Bayesian Decoding with a Population of Neurons. Neural Comput. 15(5): 993-1012 (2003) - 2002
- [j9]Si Wu, Shun-ichi Amari, Hiroyuki Nakahara
Asymptotic behaviors of population codes. Neurocomputing 44-46: 697-702 (2002) - [j8]Si Wu, Shun-ichi Amari, Hiroyuki Nakahara
Population Coding and Decoding in a Neural Field: A Computational Study. Neural Comput. 14(5): 999-1026 (2002) - [j7]Si Wu, Shun-ichi Amari:
Conformal Transformation of Kernel Functions A Data Dependent Way to Improve Support Vector Machine Classifiers. Neural Process. Lett. 15(1): 59-67 (2002) - [j6]Si Wu, K. Y. Michael Wong
A dynamic call admission policy with precision QoS guarantee using stochastic control for mobile wireless networks. IEEE/ACM Trans. Netw. 10(2): 257-271 (2002) - 2001
- [j5]Si Wu, Hiroyuki Nakahara
Population Coding with Correlation and an Unfaithful Model. Neural Comput. 13(4): 775-797 (2001) - [j4]Hiroyuki Nakahara
Attention Modulation of Neural Tuning Through Peak and Base Rate. Neural Comput. 13(9): 2031-2047 (2001) - [j3]Bo Li, Li Yin, K. Y. Michael Wong
An Efficient and Adaptive Bandwidth Allocation Scheme for Mobile Wireless Networks Using an On-Line Local Estimation Technique. Wirel. Networks 7(2): 107-116 (2001) - [c4]Si Wu, Shun-ichi Amari:
Neural Implementation of Bayesian Inference in Population Codes. NIPS 2001: 317-323 - 2000
- [c3]Si Wu, Danmei Chen, Shun-ichi Amari:
Unfaithful Population Decoding. IJCNN (2) 2000: 199-204
1990 – 1999
- 1999
- [j2]Shun-ichi Amari, Si Wu:
Improving support vector machine classifiers by modifying kernel functions. Neural Networks 12(6): 783-789 (1999) - [c2]Si Wu, Hiroyuki Nakahara, Noboru Murata, Shun-ichi Amari:
Population Decoding Based on an Unfaithful Model. NIPS 1999: 192-198 - 1998
- [j1]Si Wu, K. Y. Michael Wong
Dynamic overload control for distributed call processors using the neural network method. IEEE Trans. Neural Networks 9(6): 1377-1387 (1998) - [c1]Si Wu, K. Y. Michael Wong, Bo Li:
A new distributed and dynamic call admission policy for mobile wireless networks with QOS guarantee. PIMRC 1998: 260-264
Coauthor Index
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