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Wen-Hao Zhang
Wen-Hao Zhang
Department of Bioinformatics and Brain Institute, UT Southwestern Medical Center
Verified email at utsouthwestern.edu - Homepage
Title
Cited by
Cited by
Year
Decentralized multisensory information integration in neural systems
WH Zhang, A Chen, MJ Rasch, S Wu
Journal of Neuroscience 36 (2), 532-547, 2016
462016
Continuous attractor neural networks: candidate of a canonical model for neural information representation
S Wu, KYM Wong, CCA Fung, Y Mi, WH Zhang
F1000Research 5, 2016
442016
Complementary congruent and opposite neurons achieve concurrent multisensory integration and segregation
WH Zhang, H Wang, A Chen, Y Gu, TS Lee, KYM Wong, S Wu
eLife 8, e43753, 2019
242019
Neural information processing with feedback modulations
WH Zhang, S Wu
Neural computation 24 (7), 1695-1721, 2012
172012
25th annual computational neuroscience meeting: CNS-2016
TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ...
BMC neuroscience 17 (1), 1-112, 2016
162016
Dynamic information encoding with dynamic synapses in neural adaptation
L Li, Y Mi, WH Zhang, DH Wang, S Wu
Frontiers in Computational Neuroscience 12, 16, 2018
102018
“Congruent” and “opposite” neurons: sisters for multisensory integration and segregation
WH Zhang, H Wang, KY Wong, S Wu
Advances in Neural Information Processing Systems 29, 2016
92016
Reciprocally coupled local estimators implement Bayesian information integration distributively
WH Zhang, S Wu
Advances in Neural Information Processing Systems, 19-27, 2013
92013
Distributed sampling-based bayesian inference in coupled neural circuits
WH Zhang, TS Lee, B Doiron, S Wu
bioRxiv, 2020
52020
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits
WH Zhang, S Wu, B Doiron, TS Lee
Advances in Neural Information Processing Systems, 3799-3808, 2019
52019
Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons
WH Zhang, S Wu, K Josic, B Doiron
bioRxiv, 2022
3*2022
SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators
A Luo, T Li, WH Zhang, TS Lee
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
32021
How the prior information shapes neural networks for optimal multisensory integration
H Wang, WH Zhang, KY Wong, S Wu
International Symposium on Neural Networks, 128-136, 2017
32017
The dynamics of bimodular continuous attractor neural networks with static and moving stimuli
M Yan, WH Zhang, H Wang, KY Wong
arXiv preprint arXiv:1910.07263, 2019
12019
Congruent and opposite neurons as partners in multisensory integration and segregation
WH Zhang, KY Wong, H Wang, S Wu
APS March Meeting Abstracts 2017, Y14. 008, 2017
12017
A spiking neural circuit model for learning multi-sensory integration
D Song, X Niu, WH Zhang, TS Lee
bioRxiv, 2020
2020
Emergence of opposite neurons in a firing-rate model of multisensory integration
HY Chau, WH Zhang, TS Lee
bioRxiv, 814483, 2019
2019
Bayesian Model for Multisensory Integration and Segregation
X Ma, H Wang, M Yan, W Zhang, MKY Wong
2019
Emergence of opposite neurons in a decentralized firing-rate model of multisensory integration
X Niu, HY Chau, TS Lee, WH Zhang
bioRxiv, 845743, 2019
2019
Antagonistic Cross-links and Reciprocal Couplings Emerge in Optimal Multisensory Integration
H Wang, WH Zhang, MKY Wong, S Wu
2018
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