Yuanlong Zhang

E-mail：yuanlongzhang@tsinghua.edu.cn

Research interest

Many brain functions emerge from the intricate interplay of highly distributed local functional networks. However, the lack of tools capable of capturing whole-brain network activity with high spatiotemporal resolution has long hindered our understanding of these large-scale functional networks.

To address this challenge, we have pioneered a series of advanced optical and computational methodologies, continuously enhancing the spatiotemporal throughput, accuracy, and imaging depth limits of large-scale in vivo neural recordings while deepening our understanding of computational models of neural circuits. Leveraging these technologies, we are committed to exploring the following key questions:

• Information Theory and Computation: How is sensory information encoded, transformed, and represented across different processing hierarchies in the mammalian brain?

• Systems Neuroscience: How do neural representations interact with internal states—such as motivation, attention, and memory—to drive specific behavioral outputs?

• Brain-Inspired Intelligence: How can insights into brain function be harnessed to optimize the development of artificial neural networks?

Selected publications

1.Yuanlong Zhang*, Mingrui Wang*, Qiyu Zhu*, Yuduo Guo, Bo Liu, Jiamin Li, Xiao Yao, Chui Kong, Yi Zhang, Yuchao Huang, Hai Qi, Jiamin Wu^‡, Zengcai V. Guo^‡, & Qionghai Dai^‡. “Long-term mesoscale imaging of 3D intercellular dynamics across a mammalian organ”, Cell (IF 66.85).

2. Yuanlong Zhang*, Lekang Yuan*, Qiyu Zhu*, Jiamin Wu,Tobias Nöbauer, Rujin Zhang, Guihua Xiao, Mingrui Wang, Hao Xie, Zengcai Guo, Qionghai Dai‡, and Alipasha Vaziri‡. “A Systematically Optimized Miniaturized Mesoscope (SOMM) for large-scale calcium imaging in freely moving mice”, Nature Biomedical Engineering (2024)

3. Guoxun Zhang*, Xiaopeng Li*, Yuanlong Zhang*, Xiaofei Han, Xinyang Li, Jinqiang Yu, Boqi Liu, Jiamin Wu‡, Li Yu‡, and Qionghai Dai‡. “Bio-friendly long-term subcellular dynamic recording by self-supervised image enhancement microscopy”, Nature Methods (2023)

4. Xinyang Li*, Yuanlong Zhang*, Jiamin Wu*‡, and Qionghai Dai*‡. “Challenges and opportunities in bioimage analysis”. Nature Methods (2023)

5. Yuanlong Zhang*, Xiaofei Song*, Jiachen Xie*, Jing Hu*, Jiawei Chen, Xiang Li, Chui Kong, Yibing Shen, Jiamin Wu‡, Lu Fang‡, and Qionghai Dai‡. “Large depth-of-view microscope enhanced by integration optics and deep learning in a cell phone”, Nature Communications (2023)

6. Yuanlong Zhang*, Guoxun Zhang*, Xiaofei Han, Jiamin Wu, Ziwei Li, Xinyang Li, Guihua Xiao, Hao Xie, Lu Fang‡, and Qionghai Dai‡. “Rapid detection of neurons in widefield calcium imaging datasets after training with synthetic data”, Nature Methods (2023)

7. Tobias Nöbauer*, Yuanlong Zhang*, Hyewon Kim, and Alipasha Vaziri‡. “Mesoscale volumetric light-field (MesoLF) imaging of neuroactivity across cortical areas at 18 Hz”, Nature Methods (2023)  

8. Yuanlong Zhang*, Xiong Bo*, Yi Zhang, Zhi Lu, Jiamin Wu‡, and Qionghai Dai‡, “DiLFM: an artifact-suppressed and noise-robust light-field microscopy through dictionary learning”, Light: Science & Applications (2021)