Computational Neuroscience: Mathematical and Statistical Perspectives
Author(s)
Brown, Emery Neal
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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
2018-03Department
Massachusetts Institute of Technology. Department of Brain and Cognitive SciencesJournal
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