2020 - Swartz Prize for Theoretical and Computational Neuroscience
2015 - Fellow of John Simon Guggenheim Memorial Foundation
2015 - Member of the National Academy of Engineering For development of neural signal processing algorithms for understanding memory encoding and modeling of brain states of anesthesia.
2015 - Fellow, National Academy of Inventors
2014 - Member of the National Academy of Sciences
2012 - Fellow of the American Academy of Arts and Sciences
2007 - Fellow of the American Association for the Advancement of Science (AAAS)
2007 - Member of the National Academy of Medicine (NAM)
2007 - National Institutes of Health Director's Pioneer Award
2006 - Fellow of the American Statistical Association (ASA)
2006 - Fellow of the Indian National Academy of Engineering (INAE)
The scientist’s investigation covers issues in Neuroscience, Artificial intelligence, Electroencephalography, Pattern recognition and Point process. His works in Cerebral cortex, Brain mapping, Thalamus, Electrophysiology and Temporal lobe are all subjects of inquiry into Neuroscience. The various areas that Emery N. Brown examines in his Artificial intelligence study include Machine learning and Adaptive filter.
His studies in Electroencephalography integrate themes in fields like Anesthesia, Coma and Computer vision. His Pattern recognition research is multidisciplinary, incorporating elements of Statistical inference and Model selection. His Point process study combines topics in areas such as Artificial neural network, Heart rate variability and Spike train.
Neuroscience, Artificial intelligence, Anesthesia, Electroencephalography and Point process are his primary areas of study. His research investigates the connection with Neuroscience and areas like Unconsciousness which intersect with concerns in Consciousness. His study looks at the relationship between Artificial intelligence and topics such as Pattern recognition, which overlap with Bayesian probability.
Emery N. Brown interconnects Alpha and Propofol in the investigation of issues within Electroencephalography. His Point process research is multidisciplinary, incorporating perspectives in Heart rate variability, Algorithm and Generalized linear model. His study in Algorithm is interdisciplinary in nature, drawing from both Kalman filter, State space and Expectation–maximization algorithm.
His main research concerns Neuroscience, Electroencephalography, Anesthesia, Propofol and Anesthetic. His Neuroscience study frequently draws parallels with other fields, such as Unconsciousness. The study incorporates disciplines such as Sevoflurane, Alpha, Neurophysiology and Sedation in addition to Electroencephalography.
His studies deal with areas such as Constant, Control, Linear-quadratic-Gaussian control, Nonlinear system and PID controller as well as Anesthesia. His Propofol research is multidisciplinary, relying on both Machine learning, Pharmacodynamics and Artificial intelligence. The various areas that Emery N. Brown examines in his Anesthetic study include Neural activity, Control theory and Local field potential.
Emery N. Brown mainly focuses on Neuroscience, Electroencephalography, Anesthesia, Arousal and Anesthetic. His Neuroscience research incorporates themes from Extracellular and Intracellular. He has included themes like Sevoflurane, Propofol and Forearm in his Electroencephalography study.
His Anesthesia research includes elements of Antidepressant, Alpha and Human brain. Emery N. Brown studied Anesthetic and Prefrontal cortex that intersect with Auditory cortex, Neocortex, Hippocampal formation, Recognition memory and Local field potential. The Unconsciousness study combines topics in areas such as Sleep in non-human animals and Consciousness.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Stability, Precision, and Near-24-Hour Period of the Human Circadian Pacemaker
Charles A. Czeisler;Jeanne F. Duffy;Theresa L. Shanahan;Emery N. Brown.
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.
The Journal of Physiology (2000)
Bright light induction of strong (type 0) resetting of the human circadian pacemaker.
Charles A. Czeisler;Richard E. Kronauer;James S. Allan;Jeanne F. Duffy.
A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects.
Wilson Truccolo;Uri T. Eden;Matthew R. Fellows;John P. Donoghue.
Journal of Neurophysiology (2005)
General anesthesia, sleep, and coma
Emery N. Brown;Ralph Lydic;Nicholas D. Schiff.
The New England Journal of Medicine (2010)
Multiple neural spike train data analysis: state-of-the-art and future challenges.
Emery N Brown;Robert E Kass;Partha P Mitra.
Nature Neuroscience (2004)
Trajectory encoding in the hippocampus and entorhinal cortex.
Loren M Frank;Emery N Brown;Matthew Wilson.
Exposure to bright light and darkness to treat physiologic maladaptation to night work
Charles A. Czeisler;Michael P. Johnson;Jeanne F. Duffy;Emery N. Brown.
The New England Journal of Medicine (1990)
Gamma frequency entrainment attenuates amyloid load and modifies microglia
Hannah F. Iaccarino;Annabelle C. Singer;Anthony J. Martorell;Anthony J. Martorell;Andrii Rudenko;Andrii Rudenko.
A Statistical Paradigm for Neural Spike Train Decoding Applied to Position Prediction from Ensemble Firing Patterns of Rat Hippocampal Place Cells
Emery N. Brown;Loren M. Frank;Dengda Tang;Michael C. Quirk.
The Journal of Neuroscience (1998)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: