Publications

Journal Articles, Manuscripts, and Reports

Journal Articles

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. Song Y, Zhou D*, Li S*. Maximum entropy principle underlies wiring length distribution in brain networks. Cerebral Cortex. 31: 4628–4641, 2021.
  7. Viegen T, ..., Li S, ... Peters M. Neuromatch academy: teaching computational neuroscience with global accessibility. Trends in Cognitive Sciences, 25(7), 535-538, 2021.
  8. 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.
  9. 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.
  10. 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.
  11. Xiao Y*, Li S*, Zhou D*. Representing conditional Granger causality by vector auto-regressive parameters. Communications in Mathematical Sciences, 17(5), 1353–1386, 2019.
  12. 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.
  13. Gu Q, Li S*, Dai W, Zhou D*, Cai D. Balanced active core in heterogeneous neuronal networks. Frontiers in Computational Neuroscience. 2, 109, 2019.
  14. 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]
  15. 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.
  16. 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.
  17. Li S, Liu N, Zhang X, Zhou D*, Cai D*. Bilinearity in spatiotemporal integration of synaptic inputs. PLoS Computational Biology, 10, e1004014, 2014.
  18. Zhou D, Li S, Zhang X, Cai D*. Phenomenological incorporation of nonlinear dendritic integration using integrate-and-fire neuronal frameworks. PLoS One, e53508, 2013.

Manuscripts in preparation

  1. Dendritic signal integration (in Chinese). Book chapter in Neuroscience edited by Jisheng Han and Mu-ming Poo.
  2. Recovery of local and effective condutances in a cable neuron model.
  3. Quantitative relations among causality measures with applications to nonlinear pulse-coupled network reconstruction.
  4. Entropy maximization and efficient communication in complex transport networks.
  5. Reconstruction of neuronal network connectivity using time-delayed mutual information.
  6. Mechanisms underlying stimulus-dependent receptive fields in the primary visual cortex of macaque monkeys.

Notes

  1. System analysis and receptive field. 2014.
  2. An introduction to NEURON simulation environment. 2014. (in Chinese)
  3. NEURON simulation environment tutorial. 2014. (in Chinese)

Ph.D. Thesis

  1. Theoretical modeling and analysis of neuronal dendritic integration. (in Chinese)