2018年
Computational Neuroscience: Mathematical and Statistical Perspectives
Annual Review of Statistics and Its Application
- 巻
- 5
- 号
- 開始ページ
- 183
- 終了ページ
- 214
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1146/annurev-statistics-041715-033733
- 出版者・発行元
- Annual Reviews Inc.
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.
- リンク情報
-
- DOI
- https://doi.org/10.1146/annurev-statistics-041715-033733
- PubMed
- https://www.ncbi.nlm.nih.gov/pubmed/30976604
- PubMed Central
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6454918
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000429191800009&DestApp=WOS_CPL
- URL
- http://www.scopus.com/inward/record.url?eid=2-s2.0-85043465123&partnerID=MN8TOARS
- ID情報
-
- DOI : 10.1146/annurev-statistics-041715-033733
- ISSN : 2326-831X
- ISSN : 2326-8298
- ORCIDのPut Code : 73425411
- PubMed ID : 30976604
- PubMed Central 記事ID : PMC6454918
- SCOPUS ID : 85043465123
- Web of Science ID : WOS:000429191800009