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

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	Article	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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