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News

Lab members presented at SfN A...

Nov 20, 2025

Fengjun, Qianru, and Huixin had abstracts accepted by the 55th Annual Meeting of the Society for Neuroscience. Fengjun and Huixin attended the meeting in San Diego to present their...

  • Presenting our work at CIBR Annual Retreat

    Oct 19, 2025
  • Lab members presented at the CNS Annual Meeting in Xi'an

    Sep 28, 2025
  • Qianru's paper published in Science Advances

    Jul 18, 2025
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Journal Club & Teaching

  • Dec 15

    Frustrative nonreward: Behavior, circuits, neurochemistry, and disorders

    Speaker: Yingjun Tang

    Time: 9:00 am, 2025/12/15

    Location: CIBR A622

  • Dec 08

    The orbitofrontal cortex updates beliefs for state inference

    Speaker: Mengjia Zhang

    Time: 9:00 am, 2025/12/08

    Location: CIBR A622

  • Dec 01

    Heterogeneous plasticity of amygdala interneurons in associative learning and extinction

    Speaker: Qianru Zhang

    Time: 9:00 am, 2025/12/01

    Location: CIBR A622

  • Nov 24

    Specialized structure of neural population codes in parietal cortex outputs

    Speaker: Qiyue Zhang

    Time: 9:00 am, 2025/11/24

    Location: CIBR A622

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Research Highlights

  • How do we understand the world around us?

    Jan 02, 2023
  • Is the core function of orbitofrontal cortex to signal values or make predictions?

    Oct 01, 2022
  • Evolving schema representations in orbitofrontal ensembles during learning

    Jan 01, 2021
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Lab Members

  • Jingfeng Zhou, PI

  • Yuan Wang, Lab Manager

  • Yingjun Tang, Postdoctoral Fellow

  • Xiangyuan Peng, Postdoctoral Fellow

  • Fengjun Ma, Postdoctoral Fellow

  • Wei Shan, Medical Doctor

  • Yuhang Zhu, Research Assistant

  • Lutao Tan, Technician

  • Maohui Wu, Technician

  • Xinmiao Wang, Animal Manager

  • Huixin Lin, Ph.D. Student

  • Qianru Zhang, Ph.D. Student

  • Zhaoyang Yin, Ph.D. Student

  • Qiyue Zhang, Ph.D. Student

  • Lin Zhu, Ph.D. Student

  • Shufei Wang, Ph.D. Student

  • Ziyu Wang, Ph.D. Student

  • Yuanpei Mi, Ph.D. Student

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Join Us

We are seeking talented people to join us to crack the code for associative learning & decision-maki...

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  • Chinese Institute for Brain Research, Beijing
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