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北京大学前沿交叉学科研究院
作者:中糖院 时间:2021-04-06 20:46:30 浏览:198

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