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Hodgkin–Huxley revisited: reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods

Abstract:

As cardiac cell models become increasingly complex, a correspondingly complex ‘genealogy’ of inherited parameter values has also emerged. The result has been the loss of a direct link between model parameters and experimental data, limiting both reproducibility and the ability to re-fit to new data. We examine the ability of approximate Bayesian computation (ABC) to infer parameter distributions in the seminal action potential model of Hodgkin and Huxley, for which an immediate and documented...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rsos.150499

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
New College
Role:
Author
ORCID:
0000-0001-8311-3200
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Human Genetics Wt Centre
Oxford college:
St Anne's College
Role:
Author
More by this author
Role:
Author
ORCID:
0000-0001-6009-3542
Publisher:
Royal Society Publisher's website
Journal:
Royal Society Open Science Journal website
Volume:
2
Issue:
12
Pages:
Article number: 150499
Publication date:
2015-12-01
Acceptance date:
2015-11-17
DOI:
EISSN:
2054-5703
Pmid:
27019736
Language:
English
Keywords:
Pubs id:
pubs:574341
UUID:
uuid:8961e55b-c528-446c-8979-7614de486858
Local pid:
pubs:574341
Source identifiers:
574341
Deposit date:
2018-04-04

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