Description
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Professor Cooper is Director of Brown University’s Center for Neural Science. This Center was founded in 1973 to study animal nervous systems and the human brain. Professor Cooper served as the first director with an interdisciplinary staff drawn from the Departments of Applied Mathematics, Biomedical Sciences, Linguistics and Physics. Today, Cooper, with members of the Brown Faculty, postdoctoral fellows and graduate students with interests in the neural and cognitive sciences, is working towards an understanding of memory and other brain functions, and thus formulating a scientific model of how the human mind works. Professor Cooper has received many forms of recognition for his work in 1972, he received the Nobel Prize in Physics (with J. Bardeen and J.R. Schrieffer) for his studies on the theory of superconductivity completed while still in his 20s. In 1968, he was awarded the Comstock Prize (with J.R. Schrieffer) of the National Academy of Sciences. The Award of Excellence, Graduate Faculties Alumni of Columbia University and Descartes Medal, Academie de Paris, Université Rene Descartes were conferred on Professor Cooper in the mid 1970s. In 1985, Professor Cooper received the John Jay Award of Columbia College. He holds seven honorary doctorates. Professor Cooper has been an NSF Postdoctoral Fellow, 1954-55, Alfred P. Sloan Foundation Research Fellow, 1959-66 and John Simon Guggenheim Memorial Foundation Fellow, 1965-66. He is a fellow of the American Physical Society and American Academy of Arts and Sciences; Sponsor, Federation of American Scientists; member of American Philosophical Society, National Academy of Sciences, Society of Neuroscience, American Association for the Advancement of Science, Phi Beta Kappa, and Sigma Xi. Professor Cooper is also on the Governing Board and Executive Committee of the International Neural Network Society and a member of the Defense Science Board. Professor Cooper is Co-founder and Co-chairman of Nestor, Inc., an industry leader in applying neural-network systems to commercial and military applications. Nestor’s adaptive pattern-recognition and risk-assessment systems simulated in small conventional computers learn by example to accurately classify complex patterns such as targets in sonar, radar or imaging systems, to emulate human decisions in such applications as mortgage origination and to assess risks.
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