Songting Li


Welcome to My Homepage


I am a Professor in the Institute of Natural Sciences and the School of Mathematical Sciences at Shanghai Jiao Tong University, where I co-direct the lab of computational neuroscience with Prof. Douglas Zhou.

I received my B.S. and Ph.D. degrees in Mathematics from Shanghai Jiao Tong University in 2010 and 2014 respectively, and my M.S. degree in Industrial Engineering from the Georgia Institute of Technology in 2015. Before joining Shanghai Jiao Tong University, I worked as a Postdoc in the Courant Institute of Mathematical Sciences at New York University from 2015 to 2018. Here is my CV.


Contact Info

E-mail: songting at sjtu.edu.cn

Address: Room 357, No. 6 Science Building


Research Interests

Applied Mathematics, Computational Neuroscience


Lab News

Selected Publications

9/2024       Paper 'Dendritic integration inspired artificial neural networks enhance data correlation' has been accepted by NeurIPS 2024.
3/2024       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.
1/2023       Paper 'Mathematical modeling and analysis of spatial neuron dynamics: dendritic integration and beyond' has been published by Communications on Pure and Applied Mathematics.
7/2022       Paper 'A striatal SOM-driven ChAT-iMSN loop generates beta oscillations and produces motor deficits' has been published online by Cell Reports.
2/2022       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.
5/2021       Paper 'maximum entropy principle underlies wiring length distribution in brain networks' has been published online by Cerebral Cortex, which was selected as the cover story of issue 32(7).
5/2021       Paper 'Neuromatch academy: teaching computational neuroscience with global accessibility' has been published online by Trends in Cognitive Sciences.
7/2019       Paper 'Dendritic computations captured by an effective point neuron model' has been published in Proceedings of the National Academy of Sciences of the United States of America.
3/2019       Paper 'Determination of effective synaptic conductances using somatic voltage clamp' has been published and highlighted in PLoS Computational Biology.

Selected Activities

12/2024       Invited talk at the 2024 9th International Conference on Cognitive Neurodynamics (ICCN2024) in Hong Kong, China.      
11/2024       Invited talk at 2024 Asia-Pacific Computational and Cognitive Neuroscience Conference (AP-CCN) in Daejeon, South Korea.      
9/2024       Co-organizer of the computational neuroscience session at the 17th Annual Meeting of Chinese Neuroscience Society (CNS 2024) in Suzhou, China.      
6/2024       Invited talk at 2024 International Conference on Mathematical Neuroscience (ICMNS) in Dublin, Ireland.      
6/2024       Co-organizer of the 2024 Computational and Cognitive Neuroscience (CCN) summer school in Cold Spring Harbor Asia at Suzhou, China.