dc.contributor.author |
Deistler, Michael |
|
dc.contributor.author |
Macke, Jakob H. |
|
dc.date.accessioned |
2021-07-12T06:52:34Z |
|
dc.date.available |
2021-07-12T06:52:34Z |
|
dc.date.issued |
2020 |
|
dc.identifier.issn |
2050-084X |
|
dc.identifier.uri |
http://hdl.handle.net/10900/117046 |
|
dc.language.iso |
en |
de_DE |
dc.publisher |
Elife Sciences Publications Ltd |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.7554/eLife.56261 |
de_DE |
dc.subject.ddc |
570 |
de_DE |
dc.title |
Training deep neural density estimators to identify mechanistic models of neural dynamics |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20210304112512_01480 |
|
utue.personen.roh |
Goncalves, Pedro J. |
|
utue.personen.roh |
Lueckmann, Jan-Matthis |
|
utue.personen.roh |
Deistler, Michael |
|
utue.personen.roh |
Nonnenmacher, Marcel |
|
utue.personen.roh |
Oecal, Kaan |
|
utue.personen.roh |
Bassetto, Giacomo |
|
utue.personen.roh |
Chintaluri, Chaitanya |
|
utue.personen.roh |
Podlaski, William F. |
|
utue.personen.roh |
Haddad, Sara A. |
|
utue.personen.roh |
Vogels, Tim P. |
|
utue.personen.roh |
Greenberg, David S. |
|
utue.personen.roh |
Macke, Jakob H. |
|
dcterms.isPartOf.ZSTitelID |
Elife |
de_DE |
dcterms.isPartOf.ZS-Issue |
Article e56261 |
de_DE |
dcterms.isPartOf.ZS-Volume |
9 |
de_DE |