SEBASTIAN SEUNG, Professor
of Computational Neuroscience, Department of Brain and Cognitive Sciences;
Professor of Physics
Research Interests
To model the neural networks of the brain using mathematical theories,
computer simulation, and circuits of biological neurons in vitro.
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Biographical Sketch
Dr. Seung is Professor of Computational Neuroscience in the Department
of Brain and Cognitive Sciences and Department of Physics at the
Massachusetts Institute of Technology, and Assistant Investigator
of the Howard Hughes Medical Institute. He studied theoretical physics
with David Nelson at Harvard University, and completed postdoctoral
training with Haim Sompolinsky at the Hebrew University of Jerusalem.
Before joining the MIT faculty, Seung was a member of the Theoretical
Physics Department at Bell Laboratories. He is a Sloan Research
Fellow, a Packard Fellow, and a McKnight Scholar.
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Selected Publications
Hahnloser RHR, Sarpeshkar R, Mahowald MA, Douglas RJ, and Seung
HS (2000). Digital selection and analogue amplification coexist
in a cortex-inspired silicon circuit. Nature 405: 947-51.
Lee DD and Seung HS (1999). Learning the parts of objects by nonnegative
matrix factorization. Nature 401: 788-791.
Seung HS (1996). How the brain keeps the eyes still. Proceedings
of the National Academy of Sciences USA 93: 13339-13344.
Haussler M, Kearns MJ, Seung HS and Tishby N (1996). Rigorous learning
curve bounds from statistical mechanics. Machine Learning
25: 195-236.
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