dc.contributor.author | Oesterle, Jonathan | |
dc.contributor.author | Krämer, Nicholas | |
dc.contributor.author | Hennig, Philipp | |
dc.contributor.author | Berens, Philipp | |
dc.date.accessioned | 2022-05-23T15:01:02Z | |
dc.date.available | 2022-05-23T15:01:02Z | |
dc.date.issued | 2021-12-01 | |
dc.identifier.uri | http://hdl.handle.net/10900/127217 | |
dc.language.iso | en | de_DE |
dc.publisher | Cold Spring Harbor Laboratory | de_DE |
dc.relation.uri | https://doi.org/10.1101/2021.04.27.441605 | de_DE |
dc.subject.ddc | 004 | de_DE |
dc.title | Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models | de_DE |
dc.type | Preprint | de_DE |
utue.personen.roh | Oesterle, Jonathan | |
utue.personen.roh | Krämer, Nicholas | |
utue.personen.roh | Hennig, Philipp | |
utue.personen.roh | Berens, Philipp | |
dcterms.isPartOf.ZSTitelID | bioRxiv | de_DE |
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