How well do reduced models capture the dynamics in models of interacting neurons?
Publication
, Journal Article
Li, Y; Chariker, L; Young, L-S
Published in: Journal of Mathematical Biology
January 2019
Duke Scholars
Published In
Journal of Mathematical Biology
DOI
EISSN
1432-1416
ISSN
0303-6812
Publication Date
January 2019
Volume
78
Issue
1-2
Start / End Page
83 / 115
Publisher
Springer Science and Business Media LLC
Related Subject Headings
- Bioinformatics
- 49 Mathematical sciences
- 31 Biological sciences
- 06 Biological Sciences
- 01 Mathematical Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Li, Y., Chariker, L., & Young, L.-S. (2019). How well do reduced models capture the dynamics in models of interacting neurons? Journal of Mathematical Biology, 78(1–2), 83–115. https://doi.org/10.1007/s00285-018-1268-0
Li, Yao, Logan Chariker, and Lai-Sang Young. “How well do reduced models capture the dynamics in models of interacting neurons?” Journal of Mathematical Biology 78, no. 1–2 (January 2019): 83–115. https://doi.org/10.1007/s00285-018-1268-0.
Li Y, Chariker L, Young L-S. How well do reduced models capture the dynamics in models of interacting neurons? Journal of Mathematical Biology. 2019 Jan;78(1–2):83–115.
Li, Yao, et al. “How well do reduced models capture the dynamics in models of interacting neurons?” Journal of Mathematical Biology, vol. 78, no. 1–2, Springer Science and Business Media LLC, Jan. 2019, pp. 83–115. Crossref, doi:10.1007/s00285-018-1268-0.
Li Y, Chariker L, Young L-S. How well do reduced models capture the dynamics in models of interacting neurons? Journal of Mathematical Biology. Springer Science and Business Media LLC; 2019 Jan;78(1–2):83–115.
Published In
Journal of Mathematical Biology
DOI
EISSN
1432-1416
ISSN
0303-6812
Publication Date
January 2019
Volume
78
Issue
1-2
Start / End Page
83 / 115
Publisher
Springer Science and Business Media LLC
Related Subject Headings
- Bioinformatics
- 49 Mathematical sciences
- 31 Biological sciences
- 06 Biological Sciences
- 01 Mathematical Sciences