Brown - Plenary Lecture
Signal Processing Algorithms to Decipher Brain Functions
Professor Emery N. Brown
Massachusetts Institute of Technology
Friday, July 14
Emery N. Brown, M.D., Ph.D. is Professor of Computational Neuroscience and Professor of Health Sciences and Technology at Massachusetts Institute of Technology and Massachusetts General Hospital Professor of Anaesthesia at Harvard Medical School. He is an anesthesiologist and the Director of the Neuroscience Statistics Research Laboratory in the Department of Anesthesia and Critical Care at Massachusetts General Hospital.
Dr. Brown earned his BA degree in Applied Mathematics from Harvard College, his MA and Ph.D. degrees in statistics from Harvard University and his MD from Harvard Medical School. He served his internship in internal medicine at the Brigham and Women’s Hospital and his residency in anesthesia at Massachusetts General Hospital.
His methodology research focuses on use of dynamic estimation methods to analyze neurophysiological systems in three areas: signal processing algorithms to study how individuals and ensembles of neurons represent information; statistical methods for the analysis of functional neural imaging data; statistical models to characterize human circadian and neuroendocrine rhythms. His experimental research uses combined fMRI and EEG to study the neurophysiological changes in brain regions associated with the states of general anesthesia.
Dr. Brown is on the editorial boards of the Annals of Applied Statistics, the Journal of Neurophysiology, IEEE Transactions on Neural and Rehabilitation Engineering and Anesthesia and Analgesia.
Dr. Brown is a member of the Committee on Applied and Theoretical Statistics of the National Academies, an elected member of the Association of University Anesthesiologists, a fellow of the American Statistical Association, a fellow of the American Institute of Medical and Biological Engineering and he is the Co-Director of the Neuroinformatics Course at the Marine Biological Laboratory in Woods Hole, MA.