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Hodgkin–Huxley revisited: reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods
Research article (Royal Society Open Science, 2015) · cited 33× · AI/ML
Hodgkin–Huxley revisited: reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods
Summary
Hodgkin–Huxley revisited: reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods is a scholarly article[1].
Key Facts
Hodgkin–Huxley revisited: reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Hodgkin–Huxley revisited: reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/hodgkinhuxley-revisited-reparametrization-and-identifiability-analysis-of-the-classic-action-potential-model-with-approx
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BibTeX@misc{4ortxyz_hodgkinhuxley-revisited-reparametrization-and-identifiability-analysis-of-the-classic-action-potential-model-with-approx_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hodgkin–Huxley revisited: reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods}}, year = {2026}, url = {https://4ort.xyz/entity/hodgkinhuxley-revisited-reparametrization-and-identifiability-analysis-of-the-classic-action-potential-model-with-approx}, note = {Accessed: 2026-05-24}}
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