Si Wu

According to our database, Si Wu authored at least 92 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning sequence attractors in recurrent networks with hidden neurons.

Yao Lu, Si Wu

Neural Networks, 2024

A Differentiable Approach to Multi-scale Brain Modeling.

Chaoming Wang, Muyang Lyu, Tianqiu Zhang, Sichao He, Si Wu

CoRR, 2024

A differentiable brain simulator bridging brain simulation and brain-inspired computing.

Chaoming Wang, Tianqiu Zhang, Sichao He, Hongyaoxing Gu, Shangyang Li, Si Wu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Visual information processing through the interplay between fine and coarse signal pathways.

Xiaolong Zou, Zilong Ji, Tianqiu Zhang, Tiejun Huang, Si Wu

Neural Networks, September, 2023

A differentiable brain simulator bridging brain simulation and brain-inspired computing.

Chaoming Wang, Tianqiu Zhang, Sichao He, Yifeng Gong, Hongyaoxing Gu, Shangyang Li, Si Wu

CoRR, 2023

A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation.

Junfeng Zuo, Xiao Liu, Ying Nian Wu, Si Wu, Wenhao Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning and processing the ordinal information of temporal sequences in recurrent neural circuits.

Xiaolong Zou, Zhikun Chu, Qinghai Guo, Jie Cheng, Bo Ho, Si Wu, Yuanyuan Mi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics.

Xiaohan Lin, Liyuan Li, Boxin Shi, Tiejun Huang, Yuanyuan Mi, Si Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Sampling in Hierarchical Exponential-family Energy-based Models.

Xingsi Dong, Si Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Neural feedback facilitates rough-to-fine information retrieval.

Xiao Liu, Xiaolong Zou, Zilong Ji, Gengshuo Tian, Yuanyuan Mi, Tiejun Huang, K. Y. Michael Wong, Si Wu

Neural Networks, 2022

Towards a New Paradigm for Brain-inspired Computer Vision.

Xiaolong Zou, Tie-Jun Huang, Si Wu

Int. J. Autom. Comput., 2022

1000x Faster Camera and Machine Vision with Ordinary Devices.

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

CoRR, 2022

Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors.

Wenhao Zhang, Ying Nian Wu, Si Wu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks.

Xingsi Dong, Zilong Ji, Tianhao Chu, Tiejun Huang, Wenhao Zhang, Si Wu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells.

Tianhao Chu, Zilong Ji, Junfeng Zuo, Wenhao Zhang, Tiejun Huang, Yuanyuan Mi, Si Wu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A brain-inspired computational model for spatio-temporal information processing.

Xiaohan Lin, Xiaolong Zou, Zilong Ji, Tiejun Huang, Si Wu, Yuanyuan Mi

Neural Networks, 2021

A Marr's Three-Level Analytical Framework for Neuromorphic Electronic Systems.

Yunpeng Guo, Xiaolong Zou, Yifan Hu, Yifei Yang, Xinxin Wang, Yuhan He, Ruikai Kong, Yuzheng Guo, Guoqi Li, Wei Zhang, Si Wu, Huanglong Li

Adv. Intell. Syst., 2021

Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks.

Xingsi Dong, Tianhao Chu, Tiejun Huang, Zilong Ji, Si Wu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Just-In-Time Compilation Approach for Neural Dynamics Simulation.

Chaoming Wang, Yingqian Jiang, Xinyu Liu, Xiaohan Lin, Xiaolong Zou, Zilong Ji, Si Wu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

A Neural Network Model With Gap Junction for Topological Detection.

Chaoming Wang, Risheng Lian, Xingsi Dong, Yuanyuan Mi, Si Wu

Frontiers Comput. Neurosci., 2020

Excitation-Inhibition Balanced Neural Networks for Fast Signal Detection.

Gengshuo Tian, Shangyang Li, Tiejun Huang, Si Wu

Frontiers Comput. Neurosci., 2020

Unsupervised Few-Shot Feature Learning via Self-Supervised Training.

Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu

Frontiers Comput. Neurosci., 2020

Vision at A Glance: Interplay between Fine and Coarse Information Processing Pathways.

Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu

CoRR, 2020

An Attention-Driven Two-Stage Clustering Method for Unsupervised Person Re-identification.

Zilong Ji, Xiaolong Zou, Xiaohan Lin, Xiao Liu, Tiejun Huang, Si Wu

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Unsupervised Few-shot Learning via Self-supervised Training.

Zilong Ji, Xiaolong Zou, Tiejun Huang, Si Wu

CoRR, 2019

Spatiotemporal Information Processing with a Reservoir Decision-making Network.

Yuanyuan Mi, Xiaohan Lin, Xiaolong Zou, Zilong Ji, Tiejun Huang, Si Wu

CoRR, 2019

Excitation-Inhibition Balanced Spiking Neural Networks for Fast Information Processing.

Gengshuo Tian, Tiejun Huang, Si Wu

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently.

Xiao Liu, Xiaolong Zou, Zilong Ji, Gengshuo Tian, Yuanyuan Mi, Tiejun Huang, K. Y. Michael Wong, Si Wu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits.

Wenhao Zhang, Si Wu, Brent Doiron, Tai Sing Lee

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Dynamic Information Encoding With Dynamic Synapses in Neural Adaptation.

Luozheng Li, Yuanyuan Mi, Wenhao Zhang, Dahui Wang, Si Wu

Frontiers Comput. Neurosci., 2018

Learning, Storing, and Disentangling Correlated Patterns in Neural Networks.

Xiaolong Zou, Zilong Ji, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Dahui Wang, Si Wu

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Neural Information Processing in Hierarchical Prototypical Networks.

Zilong Ji, Xiaolong Zou, Xiao Liu, Tiejun Huang, Yuanyuan Mi, Si Wu

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Peri-Saccadic Remapping Accounts for Visual Stability.

Xiao Wang, Mingsha Zhang, Si Wu

Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018

2017

Learning Peri-saccadic Remapping of Receptive Field from Experience in Lateral Intraparietal Area.

Xiao Wang, Yan Wu, Mingsha Zhang, Si Wu

Frontiers Comput. Neurosci., 2017

How the Prior Information Shapes Neural Networks for Optimal Multisensory Integration.

He Wang, Wenhao Zhang, K. Y. Michael Wong, Si Wu

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Learning a Continuous Attractor Neural Network from Real Images.

Xiaolong Zou, Zilong Ji, Xiao Liu, Yuanyuan Mi, K. Y. Michael Wong, Si Wu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Encoding Multisensory Information in Modular Neural Networks.

He Wang, Wenhao Zhang, K. Y. Michael Wong, Si Wu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Neural implementation of categorization in a motion discrimination task.

L. T. Yu, Si Wu, D. H. Wang

Neurocomputing, 2016

Neural Computations in a Dynamical System with Multiple Time Scales.

Yuanyuan Mi, Xiaohan Lin, Si Wu

Frontiers Comput. Neurosci., 2016

"Congruent" and "Opposite" Neurons: Sisters for Multisensory Integration and Segregation.

Wenhao Zhang, He Wang, K. Y. Michael Wong, Si Wu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Dynamical information encoding in neural adaptation.

Luozheng Li, Wenhao Zhang, Yuanyuan Mi, Dahui Wang, Xiaohan Lin, Si Wu

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

A Phenomenological Synapse Model for Asynchronous Neurotransmitter Release.

Tao Wang, Luping Yin, Xiaolong Zou, Yousheng Shu, Malte J. Rasch, Si Wu

Frontiers Comput. Neurosci., 2015

2014

Response dynamics of bullfrog ON-OFF RGCs to different stimulus durations.

Lei Xiao, Pu-Ming Zhang, Si Wu, Pei-Ji Liang

J. Comput. Neurosci., 2014

A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System.

Yuanyuan Mi, Luozheng Li, Dahui Wang, Si Wu

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks.

Yuanyuan Mi, C. C. Alan Fung, K. Y. Michael Wong, Si Wu

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Short-term synaptic plasticity.

Misha Tsodyks, Si Wu

Scholarpedia, 2013

Design principles of the sparse coding network and the role of "sister cells" in the olfactory system of Drosophila.

Danke Zhang, Yuanqing Li, Si Wu, Malte J. Rasch

Frontiers Comput. Neurosci., 2013

Nonlinear multiplicative dendritic integration in neuron and network models.

Danke Zhang, Yuanqing Li, Malte J. Rasch, Si Wu

Frontiers Comput. Neurosci., 2013

Adaptive neural information processing with dynamical electrical synapses.

Lei Xiao, Danke Zhang, Yuanqing Li, Pei-Ji Liang, Si Wu

Frontiers Comput. Neurosci., 2013

Neural information processing with dynamical synapses.

Si Wu, K. Y. Michael Wong, Misha Tsodyks

Frontiers Comput. Neurosci., 2013

Resolution enhancement in neural networks with dynamical synapses.

C. C. Alan Fung, He Wang, Kin Lam, K. Y. Michael Wong, Si Wu

Frontiers Comput. Neurosci., 2013

Concentration-Invariant Odor Representation in the Olfactory System by Presynaptic Inhibition.

Danke Zhang, Yuanqing Li, Si Wu

Comput. Math. Methods Medicine, 2013

Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively.

Wenhao Zhang, Si Wu

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

A kernel-based Perceptron with dynamic memory.

Wenwu He, Si Wu

Neural Networks, 2012

Neural Information Processing with Feedback Modulations.

Wenhao Zhang, Si Wu

Neural Comput., 2012

Dynamical Synapses Enhance Neural Information Processing: Gracefulness, Accuracy, and Mobility.

C. C. Alan Fung, K. Y. Michael Wong, He Wang, Si Wu

Neural Comput., 2012

Delay Compensation with Dynamical Synapses.

C. C. Alan Fung, K. Y. Michael Wong, Si Wu

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Neural Population Decoding in Short-Time Windows.

Wenhao Zhang, Si Wu

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

2011

Impact of noise structure and network topology on tracking speed of neural networks.

Longwen Huang, Yuwei Cui, Danke Zhang, Si Wu

Neural Networks, 2011

Learning Variance Statistics of Natural Images.

Libo Ma, Malte J. Rasch, Si Wu

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Erratum: Decision-Making in Drosophila with Two Conflicting Cues.

Kuijie Cai, Jihong Shen, Si Wu

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Decision-Making in Drosophila with Two Conflicting Cues.

Kuijie Cai, Jihong Shen, Si Wu

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Simple Models for Synaptic Information Integration.

Danke Zhang, Yuwei Cui, Yuanqing Li, Si Wu

Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010

Behavior-constrained support vector machines for fMRI data analysis.

Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu

IEEE Trans. Neural Networks, 2010

A Moving Bump in a Continuous Manifold: A Comprehensive Study of the Tracking Dynamics of Continuous Attractor Neural Networks.

C. C. Alan Fung, K. Y. Michael Wong, Si Wu

Neural Comput., 2010

Attractor Dynamics with Synaptic Depression.

C. C. Alan Fung, K. Y. Michael Wong, He Wang, Si Wu

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Stimulus-Dependent Noise Facilitates Tracking Performances of Neuronal Networks.

Longwen Huang, Si Wu

Proceedings of the Advances in Neural Networks, 2010

2009

On the condition for fast neural computation.

Si Wu, Shun-ichi Amari

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008

Dynamics and Computation of Continuous Attractors.

Si Wu, Kosuke Hamaguchi, Shun-ichi Amari

Neural Comput., 2008

Tracking Changing Stimuli in Continuous Attractor Neural Networks.

C. C. Alan Fung, K. Y. Michael Wong, Si Wu

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

A Geometrical Method to Improve Performance of the Support Vector Machine.

Peter Williams, Sheng Li, Jianfeng Feng, Si Wu

IEEE Trans. Neural Networks, 2007

The Tracking Speed of Continuous Attractors.

Si Wu, Kosuke Hamaguchi, Shun-ichi Amari

Proceedings of the Advances in Neural Networks, 2007

2006

The Ideal Noisy Environment for Fast Neural Computation.

Si Wu, Jianfeng Feng, Shun-ichi Amari

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005

Computing with Continuous Attractors: Stability and Online Aspects.

Si Wu, Shun-ichi Amari

Neural Comput., 2005

On the variability of cortical neural responses: a statistical interpretation.

Sheng Li, Si Wu

Neurocomputing, 2005

Scaling the Kernel Function to Improve Performance of the Support Vector Machine.

Peter Williams, Sheng Li, Jianfeng Feng, Si Wu

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

2004

Information processing in a neuron ensemble with the multiplicative correlation structure.

Si Wu, Shun-ichi Amari, Hiroyuki Nakahara

Neural Networks, 2004

2003

Sequential Bayesian Decoding with a Population of Neurons.

Si Wu, Danmei Chen, Mahesan Niranjan, Shun-ichi Amari

Neural Comput., 2003

Synchronous Firing and Higher-Order Interactions in Neuron Pool.

Shun-ichi Amari, Hiroyuki Nakahara, Si Wu, Yutaka Sakai

Neural Comput., 2003

2002

A dynamic call admission policy with precision QoS guarantee using stochastic control for mobile wireless networks.

Si Wu, K. Y. Michael Wong, Bo Li

IEEE/ACM Trans. Netw., 2002

Conformal Transformation of Kernel Functions A Data Dependent Way to Improve Support Vector Machine Classifiers.

Si Wu, Shun-ichi Amari

Neural Process. Lett., 2002

Population Coding and Decoding in a Neural Field: A Computational Study.

Si Wu, Shun-ichi Amari, Hiroyuki Nakahara

Neural Comput., 2002

Asymptotic behaviors of population codes.

Si Wu, Shun-ichi Amari, Hiroyuki Nakahara

Neurocomputing, 2002

2001

An Efficient and Adaptive Bandwidth Allocation Scheme for Mobile Wireless Networks Using an On-Line Local Estimation Technique.

Bo Li, Li Yin, K. Y. Michael Wong, Si Wu

Wirel. Networks, 2001

Population Coding with Correlation and an Unfaithful Model.

Si Wu, Hiroyuki Nakahara, Shun-ichi Amari

Neural Comput., 2001

Attention Modulation of Neural Tuning Through Peak and Base Rate.

Hiroyuki Nakahara, Si Wu, Shun-ichi Amari

Neural Comput., 2001

Neural Implementation of Bayesian Inference in Population Codes.

Si Wu, Shun-ichi Amari

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

Unfaithful Population Decoding.

Si Wu, Danmei Chen, Shun-ichi Amari

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Improving support vector machine classifiers by modifying kernel functions.

Shun-ichi Amari, Si Wu

Neural Networks, 1999

Population Decoding Based on an Unfaithful Model.

Si Wu, Hiroyuki Nakahara, Noboru Murata, Shun-ichi Amari

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

Dynamic overload control for distributed call processors using the neural network method.

Si Wu, K. Y. Michael Wong

IEEE Trans. Neural Networks, 1998

A new distributed and dynamic call admission policy for mobile wireless networks with QOS guarantee.

Si Wu, K. Y. Michael Wong, Bo Li

Proceedings of the 9th IEEE International Symposium on Personal, 1998