Journal Articles
- Liu C, Ma J, Li S*, Zhou D*. Dendritic integration inspired artificial neural networks capture data correlation. Accepted by the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS). 2024.
- Mei J, Chen K, Xiao Y, Li S*, Zhou D*. The asymptotic behavior of conditional granger causality with respect to sampling interval. CSIAM Transactions on Life Sciences. 1(1), 22-43, 2024.
- Tian Z, Chen K, Li S*, McLaughlin D*, Zhou D*. Causal connectivity measures for pulse-output network reconstruction: analysis and applications. Proceedings of the National Academy of Sciences of the United States of America (PNAS). 121 (14) e2305297121,2024.
- Li S*, McLaughlin D*, Zhou D*. Mathematical modeling and analysis of spatial neuron dynamics: dendritic integration and beyond. Communications on Pure and Applied Mathematics (CPAM). 76(1), 114-162, 2023.
- Qian D, Li W, Xue J, Wu Y, Wang Z, Shi T, Li S, Yang J, Qiu S, Wang S, Wang Q, Yuan T, Zhou D*, Lu W*. A striatal SOM-driven ChAT-iMSN loop generates beta oscillations and produces motor deficits. Cell Reports. 40(3), 111111, 2022.
- Marius’t Hart, B, ..., Li S, ..., Viegen, T. Neuromatch Academy: a 3-week, online summer school in computational neuroscience. Journal of Open Source Education. 5(49), 118, 2022.
- Li S*, Wang X-J*. Hierarchical timescales in the neocortex: mathematical mechanism and biological insights. Proceedings of the National Academy of Sciences of the United States of America (PNAS). 119, 6, e2110274119, 2022.
- Song Y, Zhou D*, Li S*. Maximum entropy principle underlies wiring length distribution in brain networks. Cerebral Cortex. 31: 4628–4641, 2021.
- Viegen T, ..., Li S, ... Peters M. Neuromatch academy: teaching computational neuroscience with global accessibility. Trends in Cognitive Sciences, 25(7), 535-538, 2021.
- Li S, Liu N, Zhang X*, McLaughlin D*, Zhou D*, Cai D. Dendritic computation captured by an effective point neuron model. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 116, 39, 15244-15252, 2019.
- Li S, Liu N, Li Y, Zhang X*, Zhou D*, Cai D. Determination of effective synaptic conductances using somatic voltage clamp. PLoS Computational Biology, 15, 3, e1006871, 2019.
- Gu Q, Xiao Y, Li S*, Zhou D*. The emergence of spatially periodic diffusive waves in small-world neuronal networks. Physical Review E, 100, 042401, 2019.
- Xiao Y*, Li S*, Zhou D*. Representing conditional Granger causality by vector auto-regressive parameters. Communications in Mathematical Sciences, 17(5), 1353–1386, 2019.
- Dai W*, Li S*, Zhou D*. Fast algorithms for simulation of neuronal dynamics based on the bilinear dendritic integration rule. Communications in Mathematical Sciences, 17(5), 1313–1331, 2019.
- Gu Q, Li S*, Dai W, Zhou D*, Cai D. Balanced active core in heterogeneous neuronal networks. Frontiers in Computational Neuroscience. 2, 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. [Code]
- 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 X, Zhou D*, Cai D*. Bilinearity in spatiotemporal integration of synaptic inputs. PLoS Computational Biology, 10, e1004014, 2014.
- Zhou D, Li S, Zhang X, Cai D*. Phenomenological incorporation of nonlinear dendritic integration using integrate-and-fire neuronal frameworks. PLoS One, e53508, 2013.
- Li S, Zhang X. Dendritic signal integration. A chapter in Neuroscience (4th edition) edited by Jisheng Han, Mu-ming Poo and Yi Rao, 2022. (in Chinese)
- Li S, Zhang X. Synaptic signal integration. A chapter in Neural Circuits and Brain Diseases edited by Yizheng Wang and Yin Mao, in press. (in Chinese)
- Li S. Modeling single neuron dynamics. A chapter in Neuroinformatics and Modeling of Neurological Function edited by Zi-Gang Huang, in progress. (in Chinese)