Si Wu

Orcid: 0000-0001-9650-6935

Affiliations:
  • Peking University, IDG/McGovern Institute for Brain Research, Beijing, China
  • Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning, China (former)
  • Chinese Academy of Sciences, Institute of Neuroscience, Shanghai, China (former)
  • University of Sussex, Department of Informatics, UK (former)
  • Sheffield University, Department of Computer Science, UK (former)
  • RIKEN Brain Science Institute, Wakō-shi, Japan (former)


According to our database1, Si Wu authored at least 92 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Learning sequence attractors in recurrent networks with hidden neurons.
Neural Networks, 2024

A Differentiable Approach to Multi-scale Brain Modeling.
CoRR, 2024

A differentiable brain simulator bridging brain simulation and brain-inspired computing.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Visual information processing through the interplay between fine and coarse signal pathways.
Neural Networks, September, 2023

A differentiable brain simulator bridging brain simulation and brain-inspired computing.
CoRR, 2023

A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation.
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.
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.
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.
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.
Neural Networks, 2022

Towards a New Paradigm for Brain-inspired Computer Vision.
Int. J. Autom. Comput., 2022

1000x Faster Camera and Machine Vision with Ordinary Devices.
CoRR, 2022

Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors.
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.
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.
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.
Neural Networks, 2021

A Marr's Three-Level Analytical Framework for Neuromorphic Electronic Systems.
Adv. Intell. Syst., 2021

Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks.
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.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
A Neural Network Model With Gap Junction for Topological Detection.
Frontiers Comput. Neurosci., 2020

Excitation-Inhibition Balanced Neural Networks for Fast Signal Detection.
Frontiers Comput. Neurosci., 2020

Unsupervised Few-Shot Feature Learning via Self-Supervised Training.
Frontiers Comput. Neurosci., 2020

Vision at A Glance: Interplay between Fine and Coarse Information Processing Pathways.
CoRR, 2020

An Attention-Driven Two-Stage Clustering Method for Unsupervised Person Re-identification.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Unsupervised Few-shot Learning via Self-supervised Training.
CoRR, 2019

Spatiotemporal Information Processing with a Reservoir Decision-making Network.
CoRR, 2019

Excitation-Inhibition Balanced Spiking Neural Networks for Fast Information Processing.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently.
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.
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.
Frontiers Comput. Neurosci., 2018

Learning, Storing, and Disentangling Correlated Patterns in Neural Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Neural Information Processing in Hierarchical Prototypical Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Peri-Saccadic Remapping Accounts for Visual Stability.
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.
Frontiers Comput. Neurosci., 2017

How the Prior Information Shapes Neural Networks for Optimal Multisensory Integration.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Learning a Continuous Attractor Neural Network from Real Images.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Encoding Multisensory Information in Modular Neural Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Neural implementation of categorization in a motion discrimination task.
Neurocomputing, 2016

Neural Computations in a Dynamical System with Multiple Time Scales.
Frontiers Comput. Neurosci., 2016

"Congruent" and "Opposite" Neurons: Sisters for Multisensory Integration and Segregation.
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.
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.
Frontiers Comput. Neurosci., 2015

2014
Response dynamics of bullfrog ON-OFF RGCs to different stimulus durations.
J. Comput. Neurosci., 2014

A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System.
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.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Short-term synaptic plasticity.
Scholarpedia, 2013

Design principles of the sparse coding network and the role of "sister cells" in the olfactory system of Drosophila.
Frontiers Comput. Neurosci., 2013

Nonlinear multiplicative dendritic integration in neuron and network models.
Frontiers Comput. Neurosci., 2013

Adaptive neural information processing with dynamical electrical synapses.
Frontiers Comput. Neurosci., 2013

Neural information processing with dynamical synapses.
Frontiers Comput. Neurosci., 2013

Resolution enhancement in neural networks with dynamical synapses.
Frontiers Comput. Neurosci., 2013

Concentration-Invariant Odor Representation in the Olfactory System by Presynaptic Inhibition.
Comput. Math. Methods Medicine, 2013

Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively.
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.
Neural Networks, 2012

Neural Information Processing with Feedback Modulations.
Neural Comput., 2012

Dynamical Synapses Enhance Neural Information Processing: Gracefulness, Accuracy, and Mobility.
Neural Comput., 2012

Delay Compensation with Dynamical Synapses.
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.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

2011
Impact of noise structure and network topology on tracking speed of neural networks.
Neural Networks, 2011

Learning Variance Statistics of Natural Images.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Erratum: Decision-Making in Drosophila with Two Conflicting Cues.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Decision-Making in Drosophila with Two Conflicting Cues.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Simple Models for Synaptic Information Integration.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
Behavior-constrained support vector machines for fMRI data analysis.
IEEE Trans. Neural Networks, 2010

A Moving Bump in a Continuous Manifold: A Comprehensive Study of the Tracking Dynamics of Continuous Attractor Neural Networks.
Neural Comput., 2010

Attractor Dynamics with Synaptic Depression.
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.
Proceedings of the Advances in Neural Networks, 2010

2009
On the condition for fast neural computation.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Dynamics and Computation of Continuous Attractors.
Neural Comput., 2008

Tracking Changing Stimuli in Continuous Attractor Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
A Geometrical Method to Improve Performance of the Support Vector Machine.
IEEE Trans. Neural Networks, 2007

The Tracking Speed of Continuous Attractors.
Proceedings of the Advances in Neural Networks, 2007

2006
The Ideal Noisy Environment for Fast Neural Computation.
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.
Neural Comput., 2005

On the variability of cortical neural responses: a statistical interpretation.
Neurocomputing, 2005

Scaling the Kernel Function to Improve Performance of the Support Vector Machine.
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.
Neural Networks, 2004

2003
Sequential Bayesian Decoding with a Population of Neurons.
Neural Comput., 2003

Synchronous Firing and Higher-Order Interactions in Neuron Pool.
Neural Comput., 2003

2002
A dynamic call admission policy with precision QoS guarantee using stochastic control for mobile wireless networks.
IEEE/ACM Trans. Netw., 2002

Conformal Transformation of Kernel Functions A Data Dependent Way to Improve Support Vector Machine Classifiers.
Neural Process. Lett., 2002

Population Coding and Decoding in a Neural Field: A Computational Study.
Neural Comput., 2002

Asymptotic behaviors of population codes.
Neurocomputing, 2002

2001
An Efficient and Adaptive Bandwidth Allocation Scheme for Mobile Wireless Networks Using an On-Line Local Estimation Technique.
Wirel. Networks, 2001

Population Coding with Correlation and an Unfaithful Model.
Neural Comput., 2001

Attention Modulation of Neural Tuning Through Peak and Base Rate.
Neural Comput., 2001

Neural Implementation of Bayesian Inference in Population Codes.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
Unfaithful Population Decoding.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Improving support vector machine classifiers by modifying kernel functions.
Neural Networks, 1999

Population Decoding Based on an Unfaithful Model.
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.
IEEE Trans. Neural Networks, 1998

A new distributed and dynamic call admission policy for mobile wireless networks with QOS guarantee.
Proceedings of the 9th IEEE International Symposium on Personal, 1998


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