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  • Taiping Zeng
  • Research Direction：
  • Email：zengtaiping@fudan.edu.cn
  • Website：
  • Brief Introduction：I am a Young Principal Investigator at the Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai. I received my Ph.D. in Computational Neuroscience and Robotics from University of Chinese Academy of Sciences (State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences). I was a postdoc at Fudan University and a project researcher at The University of Tokyo. From the perspectives of spatial cognition, memory, navigation, learning, decision-making, and locomotion, we study how the brain empowers us with intelligence to freely live in the spatial environment of everyday life via a combination of computational, robotics, neural, and behavioral methods, and also build robots with human-level spatial intelligence from our brain. I have published research papers in top journals including Progress in Neurobiology, Neural Networks, Current Research in Neurobiology, etc. I have received grants from JSPS (Japan Society for the Promotion of Science) and the WPI Startup program at MEXT (Ministry of Education, Culture, Sports, Science, and Technology). My research has been covered by China Science Daily, ScienceNet, Xuexi Qiangguo, and Chinese Academy of Sciences Research Progress.
  • Achievement：

    1.Taiping Zeng, Bailu Si, Jianfeng Feng. (2022). A theory of geometry representations for spatial navigation. Progress in Neurobiology, 102228. doi: 10.1016/j.pneurobio.2022.102228

    2.Taiping Zeng, Bailu Si, Xiaoli Li. (2022). Entorhinal-hippocampal Interactions Lead to Globally Coherent Representations of Space. Current Research in Neurobiology, 100035. doi: 10.1016/j.crneur.2022.100035

    3.Taiping Zeng, Bailu Si, (2021). “A brain-inspired compact cognitive mapping system”, Cognitive Neurodynamics 15(1), 91-101. doi: 10.1007/s11571-020-09621-6

    4.Taiping Zeng, Fengzhen Tang, Daxiong Ji, Bailu Si, “NeuroBayesSLAM: Neurobiologically Inspired Bayesian Integration of Sensory and Movement for Robot Navigation”, Neural Networks 126 (2020): 21-35. doi: 10.1016/j.neunet.2020.02.023

    5.Taiping Zeng, Bailu Si, “Cognitive Mapping Based on Conjunctive Representations of Space and Movement”, Frontiers in Neurorobotics 11 (2017): 61. doi: 10.3389/fnbot.2017.00061


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