This title appears in the Scientific Report :
2018
Please use the identifier:
http://dx.doi.org/10.1146/annurev-statistics-041715-033733 in citations.
Computational Neuroscience: Mathematical and Statistical Perspectives
Computational Neuroscience: Mathematical and Statistical Perspectives
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...
Saved in:
Personal Name(s): | Kass, Robert E. (Corresponding author) |
---|---|
Amari, Shun-Ichi / Arai, Kensuke / Brown, Emery N. / Diekman, Casey O. / Diesmann, Markus / Doiron, Brent / Eden, Uri T. / Fairhall, Adrienne L. / Fiddyment, Grant M. / Fukai, Tomoki / Grün, Sonja / Harrison, Matthew T. / Helias, Moritz / Nakahara, Hiroyuki / Teramae, Jun-nosuke / Thomas, Peter J. / Reimers, Mark / Rodu, Jordan / Rotstein, Horacio G. / Shea-Brown, Eric / Shimazaki, Hideaki / Shinomoto, Shigeru / Yu, Byron M. / Kramer, Mark A. | |
Contributing Institute: |
Computational and Systems Neuroscience; INM-6 Jara-Institut Brain structure-function relationships; INM-10 Computational and Systems Neuroscience; IAS-6 |
Published in: | Annual review of statistics and its application, 5 (2018) 1, S. 183 - 214 |
Imprint: |
Palo Alto, Calif.
Annual Reviews
2018
|
DOI: |
10.1146/annurev-statistics-041715-033733 |
Document Type: |
Journal Article |
Research Program: |
Theory, modelling and simulation Connectivity and Activity |
Publikationsportal JuSER |
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. |