H. Sebastian Seung Professor of Computational Neuroscience, MIT Investigator, Howard Hughes Medical Institute MIT, 46-5065 43 Vassar St. Cambridge, MA 02139 voice: 617-252-1693 seung@mit.edu Administrative assistant: Amy Dunn voice: 617-452-2694 fax: 617-452-2913 adunn@mit.edu List of publications (by category) (chronological)

Dr. Seung is Professor of Computational Neuroscience in the Department of Brain and Cognitive Sciences and the Department of Physics at the Massachusetts Institute of Technology, and 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, he was a member of the Theoretical Physics Department at Bell Laboratories. He has been a Packard Fellow, Sloan Fellow, and McKnight Scholar.

His algorithms for nonnegative matrix factorization have been widely applied to problems in visual learning, semantic analysis, spectroscopy, and bioinformatics. His theories of empiric and hedonistic synapses are hypothetical implementations of reinforcement learning for spiking neural networks. He advanced a spiking network model of neural integrators, after conceptualizing them in terms of continuous dynamical attractors. At the core of his theory of permitted and forbidden sets is a new idea about how memories can be latent in the synaptic connections of a recurrent neural network.