Published September 9, 1988
| public
Journal Article
Computational neuroscience
Abstract
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.Additional details
- Eprint ID
- 40513
- DOI
- 10.1126/science.3045969
- Resolver ID
- CaltechAUTHORS:20130816-103228150
- NSF Presidential Young Investigator Award
- Sloan Foundation
- Seaver Institute
- Lounsbery Foundation
- U.S. Air Force Office of Scientific Research
- U.S. Office of Naval Research
- General Electric Corporation
- National Foundation Advanced Engineering program
- Powell Lee Foundation
- NSF
- Created
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2008-01-11Created from EPrint's datestamp field
- Updated
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2021-11-09Created from EPrint's last_modified field
- Caltech groups
- Koch Laboratory (KLAB)