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Peer Reviewed Publications

           

á      C. Ly, J.W. Middleon, B. Doiron, 2012.  Cellular and circuit mechanisms maintain low spike co-variability and enhance population coding in somatosensory cortex. Frontiers in Computational Neuroscience, Vol. 6, Article 7: pp. 1-26.  doi:10.3389/fncom.2012.00007. [link] [pdf]

 

á      C. Ly & G.B. Ermentrout, 2011.  Analytic Approximations of Statistical Quantities and Response of Noisy Oscillators.  Physica D, Vol. 240:  pp. 719-731.  [link] [BibTex] [pdf]

 

á      C. Ly, T. Melman, A.L. Barth, & G.B. Ermentrout, 2011.  Phase-Resetting Curve Determines How BK Currents Affect Neuronal Firing.  Journal of Computational Neuroscience, Vol. 30: pp. 211-223.  [link] [BibTex] [pdf]

 

á      C. Ly & G.B. Ermentrout, 2010.  Coupling Regularizes Individual Units in Noisy Populations.   Physical Review E, Vol. 81:  pp. 011911.  [link] [BibTex] [pdf]

 

á      C. Ly & G.B. Ermentrout, 2010.  Analysis of Recurrent Networks of Pulse-Coupled Noisy Neural Oscillators.  SIAM Journal on Applied Dynamical Systems, Vol. 9:  pp. 113-137. [link] [BibTex] [pdf]

 

á      C. Ly & B. Doiron, 2009.  Divisive Gain Modulation with Dynamic Stimuli in Integrate-and-fire Neurons.  PLoS Comput Biol 5(4): e1000365. [Open Access link] [BibTex] [pdf]

 

á      C. Ly & G.B. Ermentrout, 2009.  Synchronization Dynamics of Two Coupled Neural Oscillators Receiving Shared and Unshared Noisy Stimuli.  Journal of Computational Neuroscience, Vol. 26: pp. 425-443. [link] [BibTex] [pdf]

 

á      C. Ly & D. Tranchina, 2009.  Spike Train Statistics and Dynamics with Synaptic Input from any Renewal Process: A Population Density Approach.  Neural Computation, Vol. 21: pp. 360-396. [link] [BibTex] [pdf]

 

á      C. Ly & D. Tranchina, 2007.  Critical Analysis of Dimension Reduction for a Moment Closure Method in a Population Density Approach to Neural Network Modeling.  Neural Computation, Vol. 19: pp. 2032-2092. [link] [BibTex] [pdf]

 

á      F. Apfaltrer, C. Ly, & D. Tranchina. 2006.  Population density methods for stochastic neurons with realistic synaptic kinetics: population firing rate dynamics and fast computational methods.  Network: Computation in Neural Systems, Vol. 17: pp. 373-419. [link] [BibTex] [pdf]

 

Other Publications

á      Ph.D. Thesis: [pdf] [1] [2]

á      Undergraduate Research Report with Russel E. Caflisch: [pdf]