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Ryan C. Kelly

Affiliations: 
Carnegie Mellon University, Pittsburgh, PA 
Area:
Visual System, Computation & Theory
Website:
http://www.cs.cmu.edu/~rkelly/
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"Ryan Kelly"
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Tai Sing Lee grad student 2002-2010 Carnegie Mellon
 (Statistical modeling of spiking activity in large scale neuronal networks.)
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Publications

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Scott JG, Kelly RC, Smith MA, et al. (2015) False discovery rate regression: an application to neural synchrony detection in primary visual cortex. Journal of the American Statistical Association. 110: 459-471
Scott JG, Kelly RC, Smith MA, et al. (2015) False Discovery Rate Regression: An Application to Neural Synchrony Detection in Primary Visual Cortex Journal of the American Statistical Association. 110: 459-471
Kelly RC, Kass RE. (2012) A framework for evaluating pairwise and multiway synchrony among stimulus-driven neurons. Neural Computation. 24: 2007-32
Kass RE, Kelly RC, Loh WL. (2011) ASSESSMENT OF SYNCHRONY IN MULTIPLE NEURAL SPIKE TRAINS USING LOGLINEAR POINT PROCESS MODELS. The Annals of Applied Statistics. 5: 1262-1292
Kelly RC, Kass RE, Smith MA, et al. (2010) Accounting for network effects in neuronal responses using L1 regularized point process models. Advances in Neural Information Processing Systems. 23: 1099-1107
Kelly RC, Smith MA, Kass RE, et al. (2010) Local field potentials indicate network state and account for neuronal response variability. Journal of Computational Neuroscience. 29: 567-79
Tokdar S, Xi P, Kelly RC, et al. (2010) Detection of bursts in extracellular spike trains using hidden semi-Markov point process models. Journal of Computational Neuroscience. 29: 203-12
Smith MA, Kelly RC, Lee TS. (2007) Dynamics of response to perceptual pop-out stimuli in macaque V1. Journal of Neurophysiology. 98: 3436-49
Kelly RC, Smith MA, Samonds JM, et al. (2007) Comparison of recordings from microelectrode arrays and single electrodes in the visual cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 27: 261-4
Kelly R, Lee TS. (2004) Decoding visual input from V1 neuronal activity with particle filtering Neurocomputing. 58: 849-855
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