Cheng Ly, Ph.D., M.S., B.S.

Statistical Sciences and Operations Research Virginia Commonwealth University, Richmond, VA, United States 
Computational, stochastic methods
"Cheng Ly"
Cross-listing: Neurotree


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Daniel Tranchina grad student 2002-2007 NYU (Neurotree)
 (Population density approach to neural network modeling: Dimension reduction analysis, techniques, and some firing rate dynamics.)
Brent Doiron post-doc University of Pittsburgh
G Bard Ermentrout post-doc University of Pittsburgh (Neurotree)


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Brent Doiron collaborator
G Bard Ermentrout collaborator (Neurotree)
Jason W. Middleton collaborator University of Pittsburgh, School of Medicine (Neurotree)
Alison Barth collaborator 2009-2010 Carnegie Mellon / Univ. of Pittsburgh (Neurotree)
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Wendling KP, Ly C. (2021) Statistical Analysis of Decoding Performances of Diverse Populations of Neurons. Neural Computation. 1-38
Wendling K, Ly C. (2019) Firing rate distributions in a feedforward network of neural oscillators with intrinsic and network heterogeneity. Mathematical Biosciences and Engineering : Mbe. 16: 2023-2048
Ly C, Shew WL, Barreiro AK. (2019) Efficient calculation of heterogeneous non-equilibrium statistics in coupled firing-rate models. Journal of Mathematical Neuroscience. 9: 2
Reynolds C, O'Leary DS, Ly C, et al. (2019) Development of a decerebrate model for investigating mechanisms mediating viscero-sympathetic reflexes in the spinalized rat. American Journal of Physiology. Heart and Circulatory Physiology
Ly C, Weinberg SH. (2018) Analysis of Heterogeneous Cardiac Pacemaker Tissue Models and Traveling Wave Dynamics. Journal of Theoretical Biology
Barreiro AK, Ly C. (2018) Investigating the Correlation-Firing Rate Relationship in Heterogeneous Recurrent Networks. Journal of Mathematical Neuroscience. 8: 8
Ly C, Marsat G. (2017) Variable synaptic strengths controls the firing rate distribution in feedforward neural networks. Journal of Computational Neuroscience
Barreiro AK, Gautam SH, Shew WL, et al. (2017) A theoretical framework for analyzing coupled neuronal networks: Application to the olfactory system. Plos Computational Biology. 13: e1005780
Barreiro AK, Ly C. (2017) Practical approximation method for firing-rate models of coupled neural networks with correlated inputs. Physical Review. E. 96: 022413
Ly C, Doiron B. (2017) Noise-enhanced coding in phasic neuron spike trains. Plos One. 12: e0176963
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