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Ryan C. Kelly

Researcher at Carnegie Mellon University

Publications -  14
Citations -  936

Ryan C. Kelly is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Spike train & Local field potential. The author has an hindex of 11, co-authored 14 publications receiving 863 citations.

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Comparison of Recordings from Microelectrode Arrays and Single Electrodes in the Visual Cortex

TL;DR: Advances in microelectrode neural recording systems have made it possible to record extracellular activity from a large number of neurons simultaneously, and the robustness of the recording method has been praised.
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Biomass offsets little or none of permafrost carbon release from soils, streams, and wildfire: an expert assessment

Benjamin W. Abbott, +99 more
TL;DR: As the permafrost region warms, its large organic carbon pool will be increasingly vulnerable to decomposition, combustion, and hydrologic export as mentioned in this paper, and models predict that some portion of this release w...
Journal Article

Biomass offsets little or none of permafrost carbon release from soils, streams, and wildfire

Benjamin W. Abbott, +99 more
TL;DR: As the permafrost region warms, its large organic carbon pool will be increasingly vulnerable to decomposition, combustion, and hydrologic export as mentioned in this paper, and models predict that some portion of this release w...
Journal ArticleDOI

Local field potentials indicate network state and account for neuronal response variability

TL;DR: It is shown that neurons in primary visual cortex exhibit coordinated fluctuations of spiking activity in the absence and in the presence of visual stimulation, and that a portion of this network activity is unrelated to the stimulus and instead reflects ongoing cortical activity.
Journal ArticleDOI

Detection of bursts in extracellular spike trains using hidden semi-Markov point process models

TL;DR: An efficient Bayesian computational scheme to fit HSMMs to spike train data is developed and indicates the method can perform well, sometimes yielding very different results than those based on PS.