MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
  • DSpace@MIT Home
  • MIT Open Access Articles
  • MIT Open Access Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Computational Neuroscience: Mathematical and Statistical Perspectives

Author(s)
Brown, Emery Neal
Thumbnail
DownloadAccepted version (1.140Mb)
Terms of use
Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
Metadata
Show full item record
Abstract
Mathematical and statistical models have played important roles in neuroscience, especially by describing the electrical activity of neurons recorded individually, or collectively across large networks. As the field moves forward rapidly, new challenges are emerging. For maximal effectiveness, those working to advance computational neuroscience will need to appreciate and exploit the complementary strengths of mechanistic theory and the statistical paradigm.
Date issued
2018-03
URI
https://hdl.handle.net/1721.1/126718
Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Journal
Annual review of statistics and its application
Publisher
Annual Reviews
Citation
Kass, Robert E. et al. “Computational Neuroscience: Mathematical and Statistical Perspectives.” Annual review of statistics and its application, 5, (March 2018): 183-214 © 2018 The Author(s)
Version: Author's final manuscript
ISSN
2326-831X

Collections
  • MIT Open Access Articles

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.