E
Emery N. Brown
Researcher at Massachusetts Institute of Technology
Publications - 599
Citations - 37710
Emery N. Brown is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Burst suppression & Spike train. The author has an hindex of 89, co-authored 571 publications receiving 32588 citations. Previous affiliations of Emery N. Brown include Boston University & United States Department of Veterans Affairs.
Papers
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Journal ArticleDOI
Stability, Precision, and Near-24-Hour Period of the Human Circadian Pacemaker
Charles A. Czeisler,Jeanne F. Duffy,Theresa L. Shanahan,Emery N. Brown,Jude F. Mitchell,D. W. Rimmer,Joseph M. Ronda,Edward J. Silva,James S. Allan,Jonathan S. Emens,Derk-Jan Dijk,Richard E. Kronauer +11 more
TL;DR: In this article, the intrinsic period of the human circadian pacemaker averages 24.18 hours in both age groups, with a tight distribution consistent with other species, with important implications for understanding the pathophysiology of disrupted sleep in older people.
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Sensitivity of the human circadian pacemaker to nocturnal light: melatonin phase resetting and suppression
Jamie M. Zeitzer,Jamie M. Zeitzer,Derk-Jan Dijk,Richard E. Kronauer,Richard E. Kronauer,Richard E. Kronauer,Emery N. Brown,Emery N. Brown,Emery N. Brown,Charles A. Czeisler,Charles A. Czeisler,Charles A. Czeisler +11 more
TL;DR: It is demonstrated that humans are highly responsive to the phase‐delaying effects of light during the early biological night and that both the phase resetting response to light and the acute suppressive effect of light on plasma melatonin follow a logistic dose‐response curve, as do many circadian responses to light in mammals.
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A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects.
TL;DR: A statistical framework based on the point process likelihood function to relate a neuron's spiking probability to three typical covariates: the neuron's own spiking history, concurrent ensemble activity, and extrinsic covariates such as stimuli or behavior.
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General anesthesia, sleep, and coma
TL;DR: This review discusses the clinical and neurophysiological features of general anesthesia and their relationships to sleep and coma, focusing on the neural mechanisms of unconsciousness induced by selected intravenous anesthetic drugs.
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Multiple neural spike train data analysis: state-of-the-art and future challenges.
TL;DR: Statistical methods for the analysis of multiple neural spike-train data are reviewed and future challenges for methodology research are discussed.