Zhewei Zhang
Affiliations: | 2014-2021 | ION | Chinese Academy of Sciences (CAS) |
2021- | NIDA | National Insitutes of Health, Bethesda, MD, United States |
Area:
decision making, LIP; reinforcement learning, dopamineWebsite:
https://www.zhewei-zhang.comGoogle:
"Zhewei Zhang"Mean distance: (not calculated yet)
Parents
Sign in to add mentorTianming Yang | grad student | 2014-2021 | NIH (NIDA) |
Geoffrey Schoenbaum | post-doc | 2021- | NIH (NIDA) |
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Publications
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Zhang Z, Takahashi YK, Montesinos-Cartegena M, et al. (2024) Expectancy-related changes in firing of dopamine neurons depend on hippocampus. Nature Communications. 15: 8911 |
Cheng Y, Zhang Z, Li X, et al. (2024) Contrastive Unsupervised Representation Learning With Optimize-Selected Training Samples. Ieee Transactions On Neural Networks and Learning Systems |
Costa KM, Zhang Z, Zhuo Y, et al. (2024) Dopamine and acetylcholine correlations in the nucleus accumbens depend on behavioral task states. Biorxiv : the Preprint Server For Biology |
Takahashi YK, Zhang Z, Montesinos-Cartegena M, et al. (2023) Expectancy-related changes in firing of dopamine neurons depend on hippocampus. Biorxiv : the Preprint Server For Biology |
Zhang Z, Yin C, Yang T. (2022) Evidence accumulation occurs locally in the parietal cortex. Nature Communications. 13: 4426 |
Zhang Z, Cheng H, Yang T. (2020) A recurrent neural network framework for flexible and adaptive decision making based on sequence learning. Plos Computational Biology. 16: e1008342 |
Liu D, Deng J, Zhang Z, et al. (2020) Orbitofrontal control of visual cortex gain promotes visual associative learning. Nature Communications. 11: 2784 |
Xie Y, Zhang Z. (2020) Understanding Commonalities and Discrepancies between Feature and Spatial Attention Effect in the Context of a Normalization Model. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 40: 955-957 |
Zhang Z, Cheng Z, Lin Z, et al. (2018) A neural network model for the orbitofrontal cortex and task space acquisition during reinforcement learning. Plos Computational Biology. 14: e1005925 |