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

Affiliations: 
Statistical Sciences and Operations Research Virginia Commonwealth University, Richmond, VA, United States 
Area:
Computational, stochastic methods
Website:
https://sites.google.com/view/chengly
Google:
"Cheng Ly"
Mean distance: 14.61 (cluster 17)
 
SNBCP
Cross-listing: MathTree

Parents

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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

Collaborators

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Andrea K. Barreiro collaborator (MathTree)
Brent Doiron collaborator
G Bard Ermentrout collaborator
Gary Marsat collaborator
Jason W. Middleton collaborator University of Pittsburgh, School of Medicine
Woodrow Shew collaborator (Physics Tree)
Seth H. Weinberg collaborator (Physics Tree)
Alison Barth collaborator 2009-2010 Carnegie Mellon / Univ. of Pittsburgh
BETA: Related publications

Publications

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Barreiro AK, Fontenele AJ, Ly C, et al. (2024) Sensory input to cortex encoded on low-dimensional periphery-correlated subspaces. Pnas Nexus. 3: pgae010
Craft MF, Barreiro AK, Gautam SH, et al. (2023) Odor modality is transmitted to cortical brain regions from the olfactory bulb. Journal of Neurophysiology. 130: 1226-1242
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
Ly C, Weinberg SH. (2022) Automaticity in ventricular myocyte cell pairs with ephaptic and gap junction coupling. Chaos (Woodbury, N.Y.). 32: 033123
Craft MF, Barreiro AK, Gautam SH, et al. (2021) Differences in olfactory bulb mitral cell spiking with ortho- and retronasal stimulation revealed by data-driven models. Plos Computational Biology. 17: e1009169
Ly C, Barreiro AK, Gautam SH, et al. (2021) Odor-evoked increases in olfactory bulb mitral cell spiking variability. Iscience. 24: 102946
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
Ly C, Weinberg SH. (2018) Analysis of Heterogeneous Cardiac Pacemaker Tissue Models and Traveling Wave Dynamics. Journal of Theoretical Biology
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