Computational Neuroscience: Mathematical and Statistical Perspectives
Name
AnnRev2017final.pdf
Description
Accepted version
Size
1.14 MB
Format
Adobe PDF
Checksum (MD5)
e665a47c8c167cf058a4bc1f9086b102
Author(s)
Brown, Emery Neal
Date Issued
March 2018
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
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.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1146/ANNUREV-STATISTICS-041715-033733
