Differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics

dc.contributor.author	Deistler, Michael
dc.contributor.author	Kadhim, Kyra L.
dc.contributor.author	Pals, Matthijs
dc.contributor.author	Beck, Jonas
dc.contributor.author	Huang, Ziwei
dc.contributor.author	Gloeckler, Manuel
dc.contributor.author	Lappalainen, Janne K
dc.contributor.author	Schröder, Cornelius
dc.contributor.author	Berens, Philipp
dc.contributor.author	Gonçalves, Pedro J.
dc.contributor.author	Macke, Jakob H.
dc.date.accessioned	2025-01-24T08:00:43Z
dc.date.available	2025-01-24T08:00:43Z
dc.date.issued	2024-08-21
dc.identifier.uri	http://hdl.handle.net/10900/161170
dc.language.iso	en	de_DE
dc.publisher	bioRxiv	de_DE
dc.relation.uri	https://doi.org/10.1101/2024.08.21.608979	de_DE
dc.subject.ddc	004	de_DE
dc.title	Differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics	de_DE
dc.type	Preprint	de_DE
utue.personen.roh	Deistler, Michael
utue.personen.roh	Kadhim, Kyra L.
utue.personen.roh	Pals, Matthijs
utue.personen.roh	Beck, Jonas
utue.personen.roh	Huang, Ziwei
utue.personen.roh	Gloeckler, Manuel
utue.personen.roh	Lappalainen, Janne K
utue.personen.roh	Schröder, Cornelius
utue.personen.roh	Berens, Philipp
utue.personen.roh	Gonçalves, Pedro J.
utue.personen.roh	Macke, Jakob H.

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