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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
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
562016
Decentralized multisensory information integration in neural systems
WH Zhang, A Chen, MJ Rasch, S Wu
Journal of Neuroscience 36 (2), 532-547, 2016
552016
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
362019
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
282021
25th annual computational neuroscience meeting: CNS-2016
TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ...
BMC neuroscience 17, 1-112, 2016
202016
Neural information processing with feedback modulations
WH Zhang, S Wu
Neural computation 24 (7), 1695-1721, 2012
192012
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
142018
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
102019
“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, 2020.07. 20.212126, 2020
82020
Conformal isometry of lie group representation in recurrent network of grid cells
D Xu, R Gao, WH Zhang, XX Wei, YN Wu
arXiv preprint arXiv:2210.02684, 2022
62022
Firing rate adaptation affords place cell theta sweeps, phase precession and procession
T Chu, Z Ji, J Zuo, Y Mi, W Zhang, T Huang, D Bush, N Burgess, S Wu
eLife 12, 2024
5*2024
Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks
X Dong, Z Ji, T Chu, T Huang, WH Zhang, S Wu
Advances in Neural Information Processing Systems, 2022
52022
Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons
WH Zhang, S Wu, K Josić, B Doiron
Nature communications 14 (1), 7074, 2023
42023
How the prior information shapes neural networks for optimal multisensory integration
H Wang, WH Zhang, KYM Wong, S Wu
Advances in Neural Networks-ISNN 2017: 14th International Symposium, ISNN …, 2017
32017
Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors
WH Zhang, YN Wu, S Wu
Advances in Neural Information Processing Systems, 2022
22022
Bimodular continuous attractor neural networks with static and moving stimuli
M Yan, WH Zhang, H Wang, KYM Wong
Physical Review E 107 (6), 064302, 2023
12023
Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells
T Chu, Z Ji, J Zuo, W Zhang, T Huang, Y Mi, S Wu
Advances in Neural Information Processing Systems, 2022
12022
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
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