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.
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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. |
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Dec, 2023 | [APPLY NOW] The 13th computational neuroscience winter school |
May, 2023 | Xiu Xin joined the lab as a visiting student. Welcome, Xiu! |
Mar, 2023 | Xiaoyu Chen, PhD from Institute of Neuroscience, CAS, joined the lab as a postdoc researcher. Welcome, Xiaoyu! |
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 | Paper ‘A striatal SOM-driven ChAT-iMSN loop generates beta oscillations and produces motor deficits’ has been published online by Cell Reports. |
Feb, 2022 | Paper ‘Hierarchical 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! |
Aug, 2021 | Paper ‘Mathematical modeling and analysis of spatial neuron dynamics: dendritic integration and beyond’ has been published online by Communications on Pure and Applied Mathematics. |