Contact Information email: homepage: Address: Songting Li ( 李松挺 ) songting@sjtu.edu.cn Research Interests http://ins.sjtu.edu.cn/people/songtingli RM 363, Institute of Natural Sciences, Shanghai Jiao Tong University 800 Dongchuan Rd, Minhang District, Shanghai, 200240, China Applied Mathematics, Theoretical and Computational Neuroscience, Biophysics Employment Sept. 2018- present Aug. 2017- Sept. 2018 Jan. 2015- Jul. 2017 Education Tenure-track Associate Professor Institute of Natural Sciences/School of Mathematical Sciences Shanghai Jiao Tong University Visiting Member, Courant Institute, New York University Research Associate, New York University Abu Dhabi Postdoctoral Associate, Courant Institute, New York University Advisor: David W. McLaughlin 2010-2014 Ph.D. in Mathematics Shanghai Jiao Tong University (SJTU), Shanghai, China Advisors: David Cai & Douglas Zhou 2010-2012 M.S. in Industrial Engineering (GT-SJTU dual master program) Georgia Institute of Technology (GT), Atlanta, United States 2006-2010 B.S. in Mathematics Shanghai Jiao Tong University, Shanghai, China Selected Awards 2019 Shanghai Municipality Yangfan Plan ( 上海市扬帆计划 ) 2018 Shanghai Municipality Chenguang Plan ( 上海市晨光计划 ) Publications Li S, Liu N, Yao L, Zhang Xh, Zhou D, Cai D. Determination of effective synaptic conductances using somatic voltage clamp. PLoS Computational Biology, 15, 3, e1006871, 2019. (highlighted by the journal website) Gu Q, Li S, Dai W, Zhou D, Cai D. (corresponding author) Balanced active core in heterogeneous neuronal networks. 1
Frontiers in Computational Neuroscience, 12, 109, 2019. Li S, Xiao Y, Zhou D, Cai D. Causal inference in nonlinear systems: Granger causality versus time-delayed mutual information. Physical Review E, 97, 052216, 2018. Li S, Xu J, Chen G, Lin L, Zhou D, Cai D. The characterization of hippocampal theta-driving neurons a time-delayed mutual information approach. Scientific Reports, 7, 5637. 2017. Li S, Zhou D, Cai D. Analysis of the dendritic integration of excitatory and inhibitory inputs from cable models. Communications in Mathematical Sciences, 13, 565-575. 2015. Li S, Liu N, Zhang Xh, Zhou D, Cai D. Bilinearity in spatiotemporal integration of synaptic inputs. PLoS Computational Biology, 10, e1004014. 2014. (highlighted by the journal website) Zhou D, Li S, Zhang Xh, Cai D. Phenomenological incorporation of nonlinear dendritic integration using integrate-and-fire neuronal frameworks. PLoS One, e53508. 2013. Li S, Zhang Xh, Zhou D, Cai D. A new framework for determination of excitatory and inhibitory conductances using somatic clamp. arxiv 1710.05113 Manuscripts Dai W, Li S, Zhou D. (corresponding author) Fast algorithms for simulation of neuronal dynamics based on the Bilinear Dendritic Integration Rule. Submitted. Gu Q, Xiao Y, Li S, Zhou D. (corresponding author) The emergence of spatially periodic diffusive waves in small-world neuronal networks. Submitted. Li S, Liu N, Zhang Xh, Zhou D, Cai D. Dendritic computation captured by an effective point neuron model. Submitted. Li S, Zhou D, Cai D. Point neuron models incorporating nonlinear dendritic integration. In preparation. Li S, Li G, Zhou D, Cai D. Reconstruction of neuronal network connectivity using time-delayed mutual information. In preparation. 2
Li S, McLaughlin D, Zhou D, Cai D. Mechanisms underlying stimulus-dependent receptive fields in the primary visual cortex of macaque monkeys. In preparation. Seminar Talks Math-Neuroscience Seminar at New York University Shanghai, 2018 Computational and Applied Math Seminar at Tsinghua University, 2018 Shanghai Center for Math Sciences Seminar at Fudan University, 2018 Applied and Computational Math Seminar at Peking University, 2018 School of Systems Sciences Seminar Beijing Normal University, 2018 Mathematical Sciences Colloquium at Rensselaer Polytechnic Institute, 2017 Biomathematics/Computational Biology Colloquium at Courant Institute, 2017 Biomathematics/Computational Biology Colloquium at Courant Institute, 2016 Mathematical Sciences Colloquium at Rensselaer Polytechnic Institute, 2016 Computational Neuroscience Seminar at Peking University, 2015 Dynamical System Seminar at Rensselaer Polytechnic Institute, 2014 Conference Presentations The 1st Mathematics and Life Sciences conference, Guangzhou, 2018 The 11th National Conference on Soft Matter and Biophysics, Chongqing, 2018 SIAM Conference on the Life Sciences, Minneapolis, 2018 Conference in Honor of Professor David Cai, Courant Institute, 2018 The 47th Annual Meeting of Society for Neuroscience, Washington DC, 2017 International Conference on Mathematical Neuroscience, Boulder, 2017 SIAM Conference on Applications of Dynamical Systems, Snowbird, 2017 SIAM Conference on Nonlinear Waves and Coherent Structures, Philadelphia, 2016 SIAM Conference on the Life Sciences, Boston, 2016 SIAM Conference on Applications of Dynamical Systems, Snowbird, 2015 IMACS Conference on Nonlinear Evolution Equations and Wave Phenomena, Athens, 2015 SIAM Conference on the Life Sciences, Charlotte, 2014 3
The 9th Biennial Conference of the Chinese Neuroscience Society, Zhengzhou, 2011 Organized Conference Sessions The Dynamics and Structure of Neuronal Networks. SIAM Conference on Applications of Dynamical Systems 2019 The Connectivity and Dynamics in Neuronal Computation. SIAM Conference on the Life Sciences 2018 The Dynamics and Function of Neuronal Networks. SIAM Conference on Applications of Dynamical Systems 2017 Organized Academic Activity Computational Neuroscience Winter School, Shanghai, 2018 Professional Services Reviewer for Scientific Reports, Plos One, Physical Review E, Bulletin in Mathematical Biology, Frontiers in Applied Mathematics and Statistics, Frontiers in Psychology, Frontiers in Physiology, Journal of Mathematical Neuroscience Professional Affiliations Member of Society for Industrial and Applied Mathematics (SIAM) Member of Mathematical Neuroscience Group in SMB Member of Society of Mathematical Biology (SMB) Member of Society for Neuroscience (SfN) Member of Chinese Neuroscience Society Teaching Experience Shanghai Jiao Tong University Probability and Statistics, 2019 Spring High Performance Computing on Solving Differential Equations, 2019, Spring New York University Applied Partial Differential Equations (co-instructor), 2017 Fall 4
Applied Partial Differential Equations (co-instructor), 2016 Fall Mathematical Neuroscience (co-instructor), 2016 Fall Multivariable Calculus, 2015 Fall 5