Sejnowski, Terrence J. and Koch, Christof and Churchland, Patricia S. (1988) Computational neuroscience. Science, 241 (4871). pp. 1299-1306. ISSN 0036-8075. http://resolver.caltech.edu/CaltechAUTHORS:20130816-103228150
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The ultimate aim of computational neuroscience is to explain how electrical and chemical signals are used in the brain to represent and process information. This goal is not new, but much has changed in the last decade. More is known now about the brain because of advances in neuroscience, more computing power is available for performing realistic simulations of neural systems, and new insights are available from the study of simplifying models of large networks of neurons. Brain models are being used to connect the microscopic level accessible by molecular and cellular techniques with the systems level accessible by the study of behavior.
|Additional Information:||We are grateful to R. Cone, F. Crick, T. Poggio, G. Tesauro, and W. Reichardt for helpful comments on this article. T.J.S. is supported by an NSF Presidential Young Investigator Award and grants from the Sloan Foundation, Seaver Institute, the Lounsbery Foundation, the Air Force Office of Scientific Research, the Office of Naval Research, and the General Electric Corporation; C.K. is supported by an NSF Presidential Young Investigator Award and grants from the Office of Naval Research, the Advanced Engineering program at the National Foundation, the Sloan Foundation, and by the Powell Lee Foundation; P.S.C. is supported by a grant from the NSF.|
|Group:||Koch Laboratory, KLAB|
|Official Citation:||Computational Neuroscience Terrence J. Sejnowski, Christof Koch and Patricia S. Churchland Science , New Series, Vol. 241, No. 4871 (Sep. 9, 1988), pp. 1299-1306|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||KLAB Import|
|Deposited On:||11 Jan 2008 04:53|
|Last Modified:||24 Oct 2013 18:56|
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