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"
Mean distance: 14.61 (cluster 17)
Cross-listing: MathTree


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Daniel Tranchina grad student 2002-2007 NYU
 (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
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Craft M, Ly C. (2022) The Effects of Background Noise on a Biophysical Model of Olfactory Bulb Mitral Cells. Bulletin of Mathematical Biology. 84: 107
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
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
Barreiro AK, Ly C. (2017) When do correlations increase with firing rates in recurrent networks? Plos Computational Biology. 13: e1005506
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