Songting Li Contact Information Phone: +1-917-930-3505 email: songting@cims.nyu.edu homepage: http://www.cims.nyu.edu/ songting/ Address: Courant Institute, 251 Mercer Street, New York, NY, United States, 10012 Research Interests Applied Mathematics, Mathematical and Computational Neuroscience, Biophysics Employment Aug. 2017- Present Jan. 2015- Jul. 2017 Education 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 2015 SJTU Distinguished Graduates Award 2014 National Scholarship in China 2012 Coulter Fellowship at GT 2010 Shanghai Municipality Distinguished Graduates Award 2009 Gold Medal in International Genetically Engineered Machine (igem) Competition Publications 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. 1
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. 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, Liu N, Zhang Xh, Zhou D, Cai D. Determination of effective synaptic conductances using somatic voltage clamp. Submitted. arxiv 1710.05098 Li S, Zhang Xh, Zhou D, Cai D. An new framework for determination of excitatory and inhibitory conductances using somatic clamp. Submitted. arxiv 1710.05113 Gu Q, Li S, Dai W, Zhou D, Cai D. Emergence of a balanced core through dynamical competition in heterogeneous neuronal networks. Submitted. arxiv 1710.05201 Manuscripts Li S, Liu N, Zhang Xh, Zhou D, Cai D. Dendritic computation captured by an effective point neuron model. Preprint. Li S, Xiao Y, Zhou D, Cai D. Causal inference in nonlinear systems: Granger causality versus time-delayed mutual information. Preprint. Li S, Zhou D, Cai D. Point neuron models incorporating nonlinear dendritic integration. Preprint. Li S, Li G, Zhou D, Cai D. Reconstruction of neuronal network connectivity using time-delayed mutual information. Preprint. Li S, McLaughlin D, Zhou D, Cai D. Mechanisms underlying stimulus-dependent receptive fields in the primary visual cortex of macaque monkeys. In preparation. 2
Seminar Talks Dendritic computation captured by an effective point neuron model. Mathematical Sciences Colloquium at Rensselaer Polytechnic Institute, 2017 Modeling Single Neuron Dynamics and Dendritic Computation. Biomathematics/Computational Biology Colloquium at Courant Institute, 2017 Distinct Roles of Inhibitory Neurons in Brain Oscillations. Biomathematics/Computational Biology Colloquium at Courant Institute, 2016 Distinct Roles of Inhibitory Neurons in Brain Oscillations. Mathematical Sciences Colloquium at Rensselaer Polytechnic Institute, 2016 Theoretical Modeling of Neuronal Dendritic Integration. Computational Neuroscience Seminar at Peking University, 2015 Theoretical Modeling of Spatiotemporal Dendritic Integration. Dynamical System Seminar at Rensselaer Polytechnic Institute, 2014 Conference Presentations The Characterization of Hippocampal Theta-driving Neurons (poster). The 47th Annual Meeting of Society for Neuroscience, Washington DC, 2017 The Characterization of Hippocampal Interneurons (poster). International Conference on Mathematical Neuroscience, Boulder, 2017 Distinct Roles of Interneurons in Hippocampal Network Oscillations. SIAM Conference on Applications of Dynamical Systems, Snowbird, 2017 Information Transfer in a Rhythmic Neuronal Network. Applied Math Days, Troy, 2017 Detecting Causality in Nonlinear Dynamical Systems. SIAM Conference on Nonlinear Waves and Coherent Structures, Philadelphia, 2016 The Contribution of Interneurons to Hippocampal Oscillations. SIAM Conference on the Life Sciences, Boston, 2016 Understanding the Brain with Mathematics. INS-ZY Student Workshop On Natural Sciences at SJTU, Shanghai, 2015 Theoretical Modeling of Spatiotemporal Dendritic Integration. SIAM Conference on Applications of Dynamical Systems, Snowbird, 2015 Theoretical Modeling of Nonlinear Dendritic Integration. IMACS Conference on Nonlinear Evolution Equations and Wave Phenomena, Athens, 2015 3
Bilinearity in Spatiotemporal Integration of Synaptic Inputs. NYU Abu Dhabi Annual Research Conference, Abu Dhabi, 2015 Theoretical Modeling of Nonlinear Dendritic Integration. SIAM Conference on the Life Sciences, Charlotte, 2014 A Phenomenological Spiking Neuron Model Incorporating Dendritic Integration Effects. The 8th Conference of Scientific and Engineering Computing, Shanghai, 2012 A Phenomenological Integrate and Fire Model Incorporating Dendritic Integration Effects. The Ph.D Candidate Forum on Computational and Applied Mathematics, Shanghai, 2012 Theoretical Study of Dendritic Integration Rule. The 9th Biennial Conference of the Chinese Neuroscience Society, Zhengzhou, 2011 Organized Conference Sessions The Dynamics and Function of Neuronal Networks. SIAM Conference on Applications of Dynamical Systems 2017 Conferences Attended Sense to Synapse, New York, 2017 The 7th International Congress of Chinese Mathematicians, Beijing, 2016 Symposium for Chinese Neuroscientists Worldwide, Hefei, 2016 Sense to Synapse, New York, 2016 NYU Future of AI Symposium, New York, 2016 The International Congress on Industrial and Applied Mathematics, Beijing, 2015 Workshop on Experimental and Theoretical Neuroscience, Abu Dhabi, 2015 Symposium for Chinese Neuroscientists Worldwide, Suzhou, 2014 Sino-French International Workshop on Computational Neuroscience, Shanghai, 2014 Multiscale Problems from Physics, Biology and Materials Science, Shanghai, 2014 Mathematical Modeling and Scientific Computing in Biology and Life Sciences, Shanghai, 2013 The 9th Asia-Pacific Conference on Vision, Suzhou, 2013 Workshop on Computational Neuroscience, Abu Dhabi, 2013 4
Professional Services Review Editor of Frontiers in Applied Mathematics and Statistics Reviewer for Scientific Reports, Physical Review E, Bulletin in Mathematical Biology, Frontiers in Psychology 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 New York Academy of Sciences Member of Chinese Neuroscience Society Teaching Experience Applied Partial Differential Equations (co-instructor), NYU, 2017 Fall Applied Partial Differential Equations (co-instructor), NYU, 2016 Fall Mathematical Neuroscience (co-instructor), NYU, 2016 Fall Multivariable Calculus, NYU, 2015 Fall Mathematical Neuroscience (invited lecturer), NYU, 2014 Fall and 2015 Fall Mentoring Ph.D. Students: Undergraduates: Summer Interns: Referees Qinglong Gu (SJTU) Zhongqi Tian (SJTU), Wei Dai (SJTU), Hai Chi (SJTU) Guanchun Li (Peking University), Danlei Zhu (Hongkong University) David McLaughlin Courant Institute of Mathematical Sciences Email: david.mclaughlin@nyu.edu David Cai Courant Institute of Mathematical Sciences Email: david.mclaughlin@nyu.edu (David Cai s letter can be requested from David McLaughlin) 5
Charles Peskin Courant Institute of Mathematical Sciences Email: peskin@cims.nyu.edu John Rinzel Courant Institute and Center for Neural Science at New York University Email: rinzeljm@gmail.com Gregor Kovacic Rensselaer Polytechnic Institute Email: kovacg@rpi.edu 6