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Cheng Ly
Cheng Ly
Verified email at vcu.edu - Homepage
Title
Cited by
Cited by
Year
Critical analysis of dimension reduction by a moment closure method in a population density approach to neural network modeling
C Ly, D Tranchina
Neural computation 19 (8), 2032-2092, 2007
992007
Population density methods for stochastic neurons with realistic synaptic kinetics: Firing rate dynamics and fast computational methods
F Apfaltrer, C Ly, D Tranchina
Network: Computation in Neural Systems 17 (4), 373-418, 2006
64*2006
Synchronization dynamics of two coupled neural oscillators receiving shared and unshared noisy stimuli
C Ly, GB Ermentrout
Journal of computational neuroscience 26, 425-443, 2009
582009
Cellular and circuit mechanisms maintain low spike co-variability and enhance population coding in somatosensory cortex
C Ly, JW Middleton, B Doiron
Frontiers in computational neuroscience 6, 7, 2012
392012
Spike train statistics and dynamics with synaptic input from any renewal process: a population density approach
C Ly, D Tranchina
Neural Computation 21 (2), 360-396, 2009
382009
Divisive gain modulation with dynamic stimuli in integrate-and-fire neurons
C Ly, B Doiron
PLoS computational biology 5 (4), e1000365, 2009
372009
Phase-resetting curve determines how BK currents affect neuronal firing
C Ly, T Melman, AL Barth, GB Ermentrout
Journal of computational neuroscience 30, 211-223, 2011
262011
Analytic approximations of statistical quantities and response of noisy oscillators
C Ly, GB Ermentrout
Physica D: Nonlinear Phenomena 240 (8), 719-731, 2011
192011
When do correlations increase with firing rates in recurrent networks?
AK Barreiro, C Ly
PLoS computational biology 13 (4), e1005506, 2017
182017
Analysis of recurrent networks of pulse-coupled noisy neural oscillators
C Ly, GB Ermentrout
SIAM Journal on Applied Dynamical Systems 9 (1), 113-137, 2010
182010
Coupling regularizes individual units in noisy populations
C Ly, GB Ermentrout
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 81 (1 …, 2010
182010
Firing rate dynamics in recurrent spiking neural networks with intrinsic and network heterogeneity
C Ly
Journal of computational neuroscience 39, 311-327, 2015
172015
One-dimensional population density approaches to recurrently coupled networks of neurons with noise
W Nicola, C Ly, SA Campbell
SIAM Journal on Applied Mathematics 75 (5), 2333-2360, 2015
172015
Investigating the correlation–firing rate relationship in heterogeneous recurrent networks
AK Barreiro, C Ly
The Journal of Mathematical Neuroscience 8, 1-25, 2018
142018
A theoretical framework for analyzing coupled neuronal networks: Application to the olfactory system
AK Barreiro, SH Gautam, WL Shew, C Ly
PLoS computational biology 13 (10), e1005780, 2017
112017
Noise-enhanced coding in phasic neuron spike trains
C Ly, B Doiron
PloS one 12 (5), e0176963, 2017
112017
Differences in olfactory bulb mitral cell spiking with ortho-and retronasal stimulation revealed by data-driven models
MF Craft, AK Barreiro, SH Gautam, WL Shew, C Ly
PLOS Computational Biology 17 (9), e1009169, 2021
82021
A principled dimension-reduction method for the population density approach to modeling networks of neurons with synaptic dynamics
C Ly
Neural Computation 25 (10), 2682-2708, 2013
82013
Automaticity in ventricular myocyte cell pairs with ephaptic and gap junction coupling
C Ly, SH Weinberg
Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (3), 2022
72022
Analysis of heterogeneous cardiac pacemaker tissue models and traveling wave dynamics
C Ly, SH Weinberg
Journal of theoretical biology 459, 18-35, 2018
72018
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