਀㰀琀椀琀氀攀㸀戀椀漀最爀愀瀀栀礀 䰀攀漀渀 一⸀ 䌀漀漀瀀攀爀⸀ 吀栀攀 一漀戀攀氀 倀爀椀稀攀 椀渀 倀栀礀猀椀挀猀 ਀㰀栀攀愀搀㸀㰀⼀栀攀愀搀㸀 ਀ ਀

Leon N. Cooper਀吀栀攀 一漀戀攀氀 倀爀椀稀攀 椀渀 倀栀礀猀椀挀猀 ㄀㤀㜀㈀㰀⼀栀㈀㸀

biography

਀㰀椀洀最 愀氀椀最渀㴀氀攀昀琀 戀漀爀搀攀爀㴀㈀ 猀爀挀㴀∀挀漀漀瀀攀爀⸀最椀昀∀㸀

Research on Theory and Computation at Brown covers many departments, many faculty members and many approaches. A central theme is the study of learning on various levels. The major focus in the Institute for Neural Systems has been the "B-C-M" model for synaptic plasticity, which is the subject of ongoing theoretical studies and experiments on both the molecular and system level. Learning models based on neural nets are studied by several groups and language learning specifically is studied in the Cognitive and Linguistic Sciences (CLS) Department. Models of the compositional structure of thinking are pursued in Applied Mathematics, as well as the CLS and Neuroscience Departments. Much of the research is concentrated on the three major areas of vision, motor skills and language. In all of these areas, computational theories are compared with both biological and psychophysical/psycholinguistic experiments. There is a strong focus on theoretical studies based on stochastic modeling of visual and language abilities in Applied Mathematics, CLS and Computer Science. Another focus is the study of shape: this is an essential component both of object recognition algorithms in computer vision and of object models in computer graphics and is studied in Engineering and Computer Science.਀ ਀ ਀

਀ ਀ ਀㰀⼀瀀㸀㰀瀀㸀䐀爀⸀ 䰀攀漀渀 一 䌀漀漀瀀攀爀᐀䤀渀猀琀椀琀甀琀攀 昀漀爀 䈀爀愀椀渀 愀渀搀 一攀甀爀愀氀 匀礀猀琀攀洀猀Ⰰ 䈀爀漀眀渀 唀渀椀瘀攀爀猀椀琀礀㰀⼀瀀㸀㰀瀀㸀 Dr. Leon N Cooper is the Thomas J. Watson Senior Professor of Science at Brown University. He specializes in theoretical physics, including low-temperature physics, and has also done theoretical work in neuroscience as well as in neural networks. Dr. Cooper is the director of the Brown University Institute for Brain and Neural Systems, which consists of groups of scientists applying various disciplines to the study of the brain. He is also a professor in the departments of Physics and Neuroscience at Brown University. Dr. Cooper was awarded the Comstock Prize by the National Academy of Sciences in 1968, the Nobel Prize in Physics in 1972, the Descartes Medal by the Academie de Paris in 1977, and the College de France Medal in 2000. He is a fellow of the American Physical Society, the American Academy of Arts and Sciences, the American Association for Advancement of Science, Phi Beta Kappa, and Sigma Xi. He is a member of the American Philosophical Society, the National Academy of Sciences, and the Society for Neuroscience.਀ Members of the Institute for Brain and Neural Systems include faculty from Brown University as well as various other Universities and Institutes in the United States and abroad.਀ Members of the Institute conduct research in brain function and neural systems that draws on biology, psychology, mathematics, engineering, physics, linguistics, and computer science. Their overall goal is a deeper understanding of the basic processes by which the central nervous system learns and organizes itself and acquires the capacity for mental acts.਀

The Institute is especially interested in the interaction between theoretical ideas and experimental results. Current areas of research include theories of cortical plasticity, cellular and molecular mechanisms underlying learning and memory storage, the analysis and application of artificial neural networks, and signal processing.਀ ਀㰀⼀瀀㸀㰀瀀㸀䰀攀漀渀 䌀漀漀瀀攀爀 眀愀猀 戀漀爀渀 椀渀 ㄀㤀㌀  椀渀 一攀眀 夀漀爀欀 眀栀攀爀攀 栀攀 愀琀琀攀渀搀攀搀 䌀漀氀甀洀戀椀愀 唀渀椀瘀攀爀猀椀琀礀 ⠀䄀⸀䈀⸀ ㄀㤀㔀㄀㬀 䄀⸀䴀⸀ ㄀㤀㔀㌀㬀 倀栀⸀䐀⸀ ㄀㤀㔀㐀⤀⸀ 䠀攀 戀攀挀愀洀攀 愀 洀攀洀戀攀爀 漀昀 琀栀攀 䤀渀猀琀椀琀甀琀攀 昀漀爀 䄀搀瘀愀渀挀攀搀 匀琀甀搀礀 ⠀㄀㤀㔀㐀ⴀ㔀㔀⤀ 愀昀琀攀爀 眀栀椀挀栀 栀攀 眀愀猀 愀 爀攀猀攀愀爀挀栀 愀猀猀漀挀椀愀琀攀 漀昀 䤀氀氀椀渀漀椀猀 ⠀㄀㤀㔀㔀ⴀ㔀㜀⤀ 愀渀搀 氀愀琀攀爀 愀渀 愀猀猀椀猀琀愀渀琀 瀀爀漀昀攀猀猀漀爀 愀琀 琀栀攀 伀栀椀漀 匀琀愀琀攀 唀渀椀瘀攀爀猀椀琀礀 ⠀㄀㤀㔀㜀ⴀ㔀㠀⤀⸀ 倀爀漀昀攀猀猀漀爀 䌀漀漀瀀攀爀 樀漀椀渀攀搀 䈀爀漀眀渀 唀渀椀瘀攀爀猀椀琀礀 椀渀 ㄀㤀㔀㠀 眀栀攀爀攀 栀攀 戀攀挀愀洀攀 䠀攀渀爀礀 䰀攀搀礀愀爀搀 䜀漀搀搀愀爀搀 唀渀椀瘀攀爀猀椀琀礀 倀爀漀昀攀猀猀漀爀 ⠀㄀㤀㘀㘀ⴀ㜀㐀⤀ 愀渀搀 眀栀攀爀攀 栀攀 椀猀 瀀爀攀猀攀渀琀氀礀 琀栀攀 吀栀漀洀愀猀 䨀⸀ 圀愀琀猀漀渀Ⰰ 匀爀⸀ 倀爀漀昀攀猀猀漀爀 漀昀 匀挀椀攀渀挀攀 ⠀㄀㤀㜀㐀ⴀ⤀⸀ ਀㰀⼀瀀㸀㰀瀀㸀倀爀漀昀攀猀猀漀爀 䌀漀漀瀀攀爀 椀猀 䐀椀爀攀挀琀漀爀 漀昀 䈀爀漀眀渀 唀渀椀瘀攀爀猀椀琀礀✀猀 䌀攀渀琀攀爀 昀漀爀 一攀甀爀愀氀 匀挀椀攀渀挀攀⸀  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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