LETIAN TAO

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