Simulation-based inference for efficient identification of generative models in computational connectomics

dc.contributor.author	Bölts, Jan
dc.contributor.author	Gao, Richard
dc.contributor.author	Macke, Jakob H.
dc.date.accessioned	2024-06-10T14:30:13Z
dc.date.available	2024-06-10T14:30:13Z
dc.date.issued	2023
dc.identifier.issn	1553-734X
dc.identifier.uri	http://hdl.handle.net/10900/154146
dc.language.iso	en	de_DE
dc.publisher	San Francisco : Public Library Science	de_DE
dc.relation.uri	http://dx.doi.org/10.1371/journal.pcbi.1011406	de_DE
dc.subject.ddc	570	de_DE
dc.subject.ddc	600	de_DE
dc.title	Simulation-based inference for efficient identification of generative models in computational connectomics	de_DE
dc.type	Article	de_DE
utue.kommentar.intern	Preprint: https://doi.org/10.1101/2023.01.31.526269	de_DE
utue.quellen.id	20240124000000_01317
utue.personen.roh	Boelts, Jan
utue.personen.roh	Harth, Philipp
utue.personen.roh	Gao, Richard
utue.personen.roh	Udvary, Daniel
utue.personen.roh	Yanez, Felipe
utue.personen.roh	Baum, Daniel
utue.personen.roh	Hege, Hans-Christian
utue.personen.roh	Oberlaender, Marcel
utue.personen.roh	Macke, Jakob
dcterms.isPartOf.ZSTitelID	Plos Computational Biology	de_DE
dcterms.isPartOf.ZS-Issue	9	de_DE
dcterms.isPartOf.ZS-Volume	19	de_DE