Beyond GLMs: A Generative Mixture Modeling Approach to Neural System Identification

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dc.contributor.author Theis, Lucas
dc.contributor.author Arnstein, Daniel
dc.contributor.author Schwarz, Cornelius
dc.contributor.author Bethge, Matthias
dc.contributor.author Chagas, André Maia
dc.date.accessioned 2014-09-08T11:03:37Z
dc.date.available 2014-09-08T11:03:37Z
dc.date.issued 2013
dc.identifier.issn 1553-7358
dc.identifier.uri http://hdl.handle.net/10900/56046
dc.language.iso en de_DE
dc.publisher Public Library Science de_DE
dc.relation.uri http://dx.doi.org/10.1371/journal.pcbi.1003356 de_DE
dc.rights info:eu-repo/semantics/closedAccess
dc.subject.ddc 570 de_DE
dc.subject.ddc 600 de_DE
dc.title Beyond GLMs: A Generative Mixture Modeling Approach to Neural System Identification de_DE
dc.type Artikel de_DE
utue.quellen.id 20140807034305_00430 de_DE
utue.personen.roh Theis, Lucas
utue.personen.roh Chagas, Andre Maia
utue.personen.roh Arnstein, Daniel
utue.personen.roh Schwarz, Cornelius
utue.personen.roh Bethge, Matthias
dcterms.isPartOf.ZSTitelID Plos Computational Biology de_DE
dcterms.isPartOf.ZS-Issue Article e1003356 de_DE
dcterms.isPartOf.ZS-Volume 9 de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


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