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Zhe S. Chen

Zhe S. Chen, PhD

Associate Professor, Department of Psychiatry

Associate Professor, Department of Neuroscience and Physiology

Keywords
integration of computational and experimental techniques to dissect neural circuits and neural population codes, computational neuroscience, neural engineering, computational statistics, machine learning, 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, 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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These focus areas and their associated publications are derived from medical subject headings from PubMed.
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Positions

Associate Professor, Department of Psychiatry at NYU Grossman School of Medicine

Associate Professor, Department of Neuroscience and Physiology 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

Closed-loop stimulation using a multiregion brain-machine interface has analgesic effects in rodents

Sun, Guanghao; Zeng, Fei; McCartin, Michael; Zhang, Qiaosheng; Xu, Helen; Liu, Yaling; Chen, Zhe Sage; Wang, Jing

Science translational medicine. 2022 Jun 29; 14(651):eabm5868

Uncovering spatial representations from spatiotemporal patterns of rodent hippocampal field potentials

Cao, Liang; Varga, Viktor; Chen, Zhe S

Cell reports methods. 2021 Nov 22; 1(7):

Spiking Recurrent Neural Networks Represent Task-Relevant Neural Sequences in Rule-Dependent Computation

Xue, Xiaohe; Wimmer, Ralf D.; Halassa, Michael M.; Chen, Zhe Sage

Cognitive computation. 2022 Jan 01; ?-?

Decoding pain from brain activity

Chen, Zhe Sage

Journal of neural engineering. 2021 Oct 04; 18(5):

Sharp Tuning of Head Direction and Angular Head Velocity Cells in the Somatosensory Cortex

Long, Xiaoyang; Deng, Bin; Young, Calvin K; Liu, Guo-Long; Zhong, Zeqi; Chen, Qian; Yang, Hui; Lv, Sheng-Qing; Chen, Zhe Sage; Zhang, Sheng-Jia

Advanced science (Weinheim, Baden-Wurttemberg, Germany). 2022 Mar 17; e2200020

Aberrant resting-state functional connectivity of the globus pallidus interna in first-episode schizophrenia

Qi, Wei; Wen, Zhenfu; Chen, Jingyun; Capichioni, Gillian; Ando, Fumika; Chen, Zhe Sage; Wang, Jijun; Yoncheva, Yuliya; Castellanos, Francisco X; Milad, Mohammed; Goff, Donald C

Schizophrenia research. 2023 Sep 14; 261:100-106

Oxytocin promotes prefrontal population activity via the PVN-PFC pathway to regulate pain

Liu, Yaling; Li, Anna; Bair-Marshall, Chloe; Xu, Helen; Jee, Hyun Jung; Zhu, Elaine; Sun, Mengqi; Zhang, Qiaosheng; Lefevre, Arthur; Chen, Zhe Sage; Grinevich, Valery; Froemke, Robert C; Wang, Jing

Neuron. 2023 Jun 07; 111(11):1795-1811.e7

Post-injury pain and behaviour: a control theory perspective

Seymour, Ben; Crook, Robyn J; Chen, Zhe Sage

Nature reviews. Neuroscience. 2023 Jun; 24(6):378-392

See All Publications (121)