1986—1990年 哈佛大学 物理系 学士学位
1990—1995年 芝加哥大学 物理系 博士学位
1995—1997年 剑桥大学 应用数学与理论物理系 博士后
1997—2000年 哥伦比亚大学 天文系NSF博士后奖
2000—2003年 纽约大学 科朗研究院 副研究员
2003—2007年 新泽西理工学院 数学科学系 助理教授
Select Recent Publications:
1. Tao, L., Praissman, J., and Sornborger, A.T., “Improved dimensionally-reduced visual cortical network using stochastic noise modeling,” J. Comput. Neurosci., 32, 367-376, 2012
2. Tao, L., Lauderdale, J.D. and Sornborger, A.T., “Mapping functional connectivity between neuronal ensembles with larval zebrafish transgenic for a ratiometric calcium indicator,” Frontiers in Neural Circuits 5, 2, 2011
Carceras, M.J., Carrillo, J.A., and Tao, L., “A numerical solver for a nonlinear Fokker-Planck equation representation of neuronal network dynamics,” J. Comput. Phys. 230, 1084, 2011
3. Tao, L. and Sornborger, A.T. “Dimensionally-reduced visual cortical network model predicts network response and connects system- and cellular-level descriptions,” J. Comput. Neurosci. 28, 91-106, 2010.
4. Kovacic, G., Tao, L., Rangan, A.V., and Cai, D., “Fokker-Planck description of conductance-based integrate-and-fire neuronal networks,” Phys. Rev. E 80, 021904, 2009
5. Cai, D., Tao, L., Rangan, A.V. and McLaughlin, D.W., Kinetic theory for neuronal network dynamics, Comm. Math. Sci., 4, 97-127, 2006
6. Tao, L., Cai, D., McLaughlin, D., Shelley, M. and Shapley, R., Orientation selectivity in visual cortex by fluctuation-controlled criticality, Proc. Natl. Acad. Sci. USA, 103, 12911-12916, 2006
7. Cai, D., Tao, L., and McLaughlin, D., An embedded network approach for scale-up of fluctuation-driven systems with preservation of spike information, Proc. Natl. Acad. Sci. USA, 101, 14288-14293, 200
8. Cai, D., Tao, L., Shelley, M. and McLaughlin, D., An effective kinetic representation of fluctuation-driven neuronal networks with application to simple & complex cells in primary visual cortex, Proc. Natl. Acad. Sci. USA, 101, 7757-7762, 2004
9. Tao, L., Shelley, M., McLaughlin, D. and Shapley, R. An egalitarian network model for the emergence of Simple and Complex cells in visual cortex, Proc. Natl. Acad. Sci. USA, 101, 366-371, 2004