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  Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models

Oesterle, J., Krämer, N., Hennig, P., & Berens, P. (2022). Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models. Journal of Computational Neuroscience, 50(4), 485-503. doi:10.1007/s10827-022-00827-7.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-E4DD-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-E4DE-8
Genre: Journal Article

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Locator:
https://doi.org/10.1007/s10827-022-00827-7 (Publisher version)
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OA-Status:
Hybrid
Locator:
https://europepmc.org/article/MED/35932442 (Publisher version)
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https://doi.org/10.1007/s10827-023-00856-w (Supplementary material)
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Correction: Journal of Computational Neuroscience, 51(3), 405
OA-Status:
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 Creators:
Oesterle, Jonathan1, Author
Krämer, Nicholas1, Author
Hennig, Philipp1, 2, Author           
Berens, Philipp1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Max Planck Research Group Probabilistic Numerics, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2344694              

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Free keywords: Forschungsgruppe Hennig
 Abstract: -

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Language(s): eng - English
 Dates: 2022-08-062022-11
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s10827-022-00827-7
BibTex Citekey: Oesterleetal22
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Title: Journal of Computational Neuroscience
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Boston : Kluwer Academic Publishers
Pages: - Volume / Issue: 50 (4) Sequence Number: - Start / End Page: 485 - 503 Identifier: ISSN: 0929-5313
CoNE: https://pure.mpg.de/cone/journals/resource/954925568787