张元龙
邮箱：yuanlongzhang@tsinghua.edu.cn
学科方向：神经环路观测与操纵
研究方向：
许多大脑功能源于高度分布的局部功能网络的涌现特性。然而，由于缺乏能够以高时空分辨率捕获整个大脑网络活动的工具，对这一大规模功能网络的理解长期受限。为解决这一问题，我们开创了一系列新型光学与计算方法，持续提升大规模在体神经记录的时空通量、准确性及成像深度极限，并深入理解神经环路的计算模型。依托这些技术，我们致力于探索以下核心问题：
• 信息论与计算层面：感觉信息如何在哺乳动物大脑的不同处理层次上编码、转换与表征；
• 系统神经科学层面：神经表征如何与内部状态（如动机、注意力和记忆）交互，以驱动特定行为；
• 类脑智能层面：基于大脑工作机制优化人工神经网络的开发。
代表性科研论文
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)
