Zhe S. Chen

Zhe S. Chen, PhD

Professor, Department of Psychiatry

Professor, Department of Neuroscience

Keywords
integration of computational and experimental techniques to dissect neural circuits and neural population codes, computational neuroscience, neural engineering, computational statistics, machine learning, NeuroAI, computational psychiatry, behavior modeling
Summary

Our current research focuses on combining multidisciplinary techniques: electrophysiology, computational modeling of circuits and behavior,  statistical analysis of neural data, NeuroAI, and neural engineering to investigate basic and translational neuroscience questions, and to address challenging data analytic problems in neuropsychiatric clinical research.

In collaboration with experimental neuroscientists, we are working on several exciting projects: learning and memory associated with hippocampal-cortical circuits; thalamocortical and cortico-thalamic circuits in working memory and executive control; and, real-time brain-machine interface for pain circuits and memory circuits.

Phone

646-754-4765

Academic office

One Park Avenue

Eighth Floor, Rm 226

New York, NY 10016

Lab Website
Chen Laboratory
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Positions

Professor, Department of Psychiatry at NYU Grossman School of Medicine

Professor, Department of Neuroscience at NYU Grossman School of Medicine

Director, Computational Psychiatry Research Program

Graduate Education

PhD from McMaster University

Postdoctoral Training

Harvard Medical School, Neuroscience Statistics Research Lab

Harnessing electroencephalography connectomes for cognitive and clinical neuroscience

Zhang, Yu; Chen, Zhe Sage

Nature biomedical engineering. 2025 Aug; 9(8):1186-1201

Mediodorsal thalamus regulates task uncertainty to enable cognitive flexibility

Zhang, Xiaohan; Mukherjee, Arghya; Halassa, Michael M; Chen, Zhe Sage

Nature communications. 2025 Mar 18; 16(1):2640

Prefrontal transthalamic uncertainty processing drives flexible switching

Lam, Norman H; Mukherjee, Arghya; Wimmer, Ralf D; Nassar, Matthew R; Chen, Zhe Sage; Halassa, Michael M

Nature. 2025 Jan; 637(8044):127-136

Emerging Brain-to-Content Technologies from Generative AI and Deep Representation Learning

Chen, Zhe Sage

IEEE signal processing magazine. 2024 Nov; 41(6):94-104

Neural dynamics in the limbic system during male social behaviors

Guo, Zhichao; Yin, Luping; Diaz, Veronica; Dai, Bing; Osakada, Takuya; Lischinsky, Julieta E; Chien, Jonathan; Yamaguchi, Takashi; Urtecho, Ashley; Tong, Xiaoyu; Chen, Zhe S; Lin, Dayu

Neuron. 2023 Oct 18; 111(20):3288-3306.e4

Large-scale foundation models and generative AI for BigData neuroscience

Wang, Ran; Chen, Zhe Sage

Neuroscience research. 2025 Jun; 215:3-14

A prototype closed-loop brain-machine interface for the study and treatment of pain

Zhang, Qiaosheng; Hu, Sile; Talay, Robert; Xiao, Zhengdong; Rosenberg, David; Liu, Yaling; Sun, Guanghao; Li, Anna; Caravan, Bassir; Singh, Amrita; Gould, Jonathan D; Chen, Zhe S; Wang, Jing

Nature biomedical engineering. 2023 Apr; 7(4):533-545

Multiplicative couplings facilitate rapid learning and information gating in recurrent neural networks

Zhang, Xiaohan; Altrabulsi, Mohamad; Xu, Wenqi; Wimmer, Ralf; Halassa, Michael M; Chen, Zhe S

bioRxiv.org : the preprint server for biology. 2025 Jul 26;

See All Publications (143)