Cheng Ly, Ph.D., M.S., B.S.
Affiliations: | Statistical Sciences and Operations Research | Virginia Commonwealth University, Richmond, VA, United States |
Area:
Computational, stochastic methodsWebsite:
http://www.people.vcu.edu/~clyGoogle:
"Cheng Ly"Mean distance: 14.61 (cluster 17) | S | N | B | C | P |
Cross-listing: MathTree
Parents
Sign in to add mentor| 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 | ||
Collaborators
Sign in to add collaborator| Brent Doiron | collaborator | ||
| G Bard Ermentrout | collaborator | ||
| Jason W. Middleton | collaborator | University of Pittsburgh, School of Medicine | |
| Alison Barth | collaborator | 2009-2010 | Carnegie Mellon / Univ. of Pittsburgh |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| 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 |