Lab of Computational Neuroscience

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The lab of computational neuroscience at Shanghai Jiao Tong University is directed by Douglas Zhou and Songting Li. It involves a diverse team with expertise of mathematics, physics, computer science and biology, sharing a common interest in understanding how the brain works. In general, the research in the lab applies mathematical modeling and computational techniques to investigate principles of neuronal computation across spatiotemporal scales, including dendritic computation of a single neuron, dynamics of neuronal circuitry and large-scale networks, and brain-inspired machine learning algorithms. The lab is in quest of mathematical understanding of the brain with a close collaboration with experimentalists.

news

Apr, 2024 Paper ‘Causal connectivity measures for pulse-output network reconstruction: Analysis and applications’ has been published online by Proceedings of the National Academy of Sciences of the United States of America.
Dec, 2023 [APPLY NOW] The 13th computational neuroscience winter school
May, 2023 Xiu Xin joined the lab as a visiting student. Welcome, Xiu! :sparkles: :smile:
Mar, 2023 Xiaoyu Chen, PhD from Institute of Neuroscience, CAS, joined the lab as a postdoc researcher. Welcome, Xiaoyu! :sparkles: :smile:
Jan, 2023 The 12th Computational Neuroscience Winter School (online).
Dec, 2022 Application and registeration of the 12th Computational Neuroscience Winter School is opening.
Jul, 2022 PaperA striatal SOM-driven ChAT-iMSN loop generates beta oscillations and produces motor deficits’ has been published online by Cell Reports.
Feb, 2022 PaperHierarchical timescales in the neocortex: mathematical mechanism and biological insights’ has been published online by Proceedings of the National Academy of Sciences of the United States of America.
Sep, 2021 Muhan Ma, Graduate of Imperial College London, joined the lab as a visiting research student. Welcome, Muhan! :sparkles: :smile:
Aug, 2021 PaperMathematical modeling and analysis of spatial neuron dynamics: dendritic integration and beyond’ has been published online by Communications on Pure and Applied Mathematics.