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Science 9 September 1988:
Vol. 241. no. 4871, pp. 1299 - 1306
DOI: 10.1126/science.3045969
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Articles
Science, Vol 241, Issue 4871, 1299-1306
Copyright © 1988 by American Association for the Advancement of Science
Computational neuroscience
TJ Sejnowski,
C Koch,
and
PS Churchland
Department of Biophysics, Johns Hopkins University, Baltimore, MD 21218.
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.
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