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Quan Wen
qwen@ustc.edu.cn
English, Chinese
Anhui
University of Science and Technology of China
Life Sciences
  • 2001 - Bachelor of Science: Fudan University
  • 2007 - PhD in Physics: State University of New York at Stony Brook and Cold Spring Harbor Laboratory
  • 2008 - Research at Howard Hughes Medical Institute/Janelia Farm
  • 2009-2013 - Postdoctoral Research: Harvard University
  • 2014-present - University of Science and Technology of China - Associate Professor
Research on behavior and intelligence using small model animals
Systems and computational neuroscience
Development of optical techniques for monitoring and manipulating behavior and neural circuits
Connectomics; relationship between neural circuit structure and function
  • Hierarchical behavior control by a single class of interneurons, Jing Huo, Tianqi Xu, Qi Liu, Mahiber Polat, Sandeep Kumar, Xiaoqian Zhang, Andrew Leifer, Quan Wen, 2023
  • The geometry and dimensionality of brain-wide activity, Zezhen Wang, Weihao Mai, Yuming Chai, Kexin Qi, Hongtai Ren, Chen Shen, Shiwu Zhang, Yu Hu, Quan Wen, 2023
  • Flexible motor sequence generation during stereotyped escape responses, Yuan Wang, Xiaoqian Zhang, Qi Xin, Wesley Hung, Jeremy Florman, Jing Huo, Tianqi Xu, Yu Xie, Mark J. Alkema, Mei Zhen, Quan Wen, 2020
  • Rapid whole brain imaging of neural activity in freely behaving larval zebrafish, Lin Cong, Zeguan Wang, Yuming Chai, Wei Hang, Chunfeng Shang, Wenbing Yang, Lu Bai, Jiulin Du, Kai Wang, Quan Wen, 2017
  • Proprioceptive couplings within motor neurons drive C. elegans forward locomotion, Quan Wen, Michelle Po, Elizabeth Hulme, Sway Chen, Xinyu Liu, Marc Gershow, Andrew Leifer, Victoria Butler, Christopher Fang-Yen, William Schafer, George Whitesides, Matthieu Wyart, Dmitri Chklovskii, Mei Zhen, Aravinthan Samuel, 2012
  • Maximizing the connectivity repertoire as a statistical principle governing the dendritic arbor shape, Quan Wen, Armen Stepanyants, Guy Elston, Alexander Grosberg, Dmitri Chklovskii, 2009
Behavior Intelligence Model Animals Neuroscience Optical Techniques Neural Circuits Connectomics Structure Function Computational

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