Computational Neuroscience: Mathematical and Statistical Perspectives.,Annual Review of Statistics and Its Application

当前位置： X-MOL 学术 › Annu. Rev. Stat. Appl. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Computational Neuroscience: Mathematical and Statistical Perspectives.
Annual Review of Statistics and Its Application ( IF 7.9 ) Pub Date : 2017-12-08 , DOI: 10.1146/annurev-statistics-041715-033733
Robert E Kass ₁ , Shun-Ichi Amari ₂ , Kensuke Arai ₃ , Emery N Brown _{4,

5} , Casey O Diekman ₆ , Markus Diesmann _{7,

8} , Brent Doiron ₉ , Uri T Eden ₃ , Adrienne L Fairhall ₁₀ , Grant M Fiddyment ₃ , Tomoki Fukai ₂ , Sonja Grün _{7,

8} , Matthew T Harrison ₁₁ , Moritz Helias _{7,

8} , Hiroyuki Nakahara ₂ , Jun-Nosuke Teramae ₁₂ , Peter J Thomas ₁₃ , Mark Reimers ₁₄ , Jordan Rodu ₁ , Horacio G Rotstein ₆ , Eric Shea-Brown ₁₀ , Hideaki Shimazaki _{15,

16} , Shigeru Shinomoto ₁₆ , Byron M Yu ₁ , Mark A Kramer ₃

Affiliation

Carnegie Mellon University, Pittsburgh, PA, USA, 15213; email:
RIKEN Brain Science Institute, Wako, Saitama Prefecture, Japan, 351-0198.
Boston University, Boston, MA, USA, 02215.
Massachusetts Institute of Technology, Cambridge, MA, USA, 02139.
Harvard Medical School, Boston, MA, USA, 02115.
New Jersey Institute of Technology, Newark, NJ, USA, 07102.
Jülich Research Centre, Jülich, Germany, 52428.
RWTH Aachen University, Aachen, Germany, 52062.
University of Pittsburgh, Pittsburgh, PA, USA, 15260.
University of Washington, Seattle, WA, USA, 98105.
Brown University, Providence, RI, USA, 02912.
Osaka University, Suita, Osaka Prefecture, Japan, 565-0871.
Case Western Reserve University, Cleveland, OH, USA, 44106.
Michigan State University, East Lansing, MI, USA, 48824.
Honda Research Institute Japan, Wako, Saitama Prefecture, Japan, 351-0188.
Kyoto University, Kyoto, Kyoto Prefecture, Japan, 606-8502.

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.

中文翻译：