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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
  • 06 Biological Sciences
  • 01 Mathematical Sciences
 

Citation

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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.
Journal cover image

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
  • 06 Biological Sciences
  • 01 Mathematical Sciences