Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies

Wollstadt, Patricia; Rathbun, Daniel L.; Usrey, W. Martin; Bastos, Andre Moraes; Lindner, Michael; Priesemann, Viola; Wibral, Michael

dc.contributor.author	Rathbun, Daniel L.
dc.date.accessioned	2024-06-04T09:49:37Z
dc.date.available	2024-06-04T09:49:37Z
dc.date.issued	2023
dc.identifier.issn	1553-734X
dc.identifier.uri	http://hdl.handle.net/10900/154015
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.1011567	de_DE
dc.subject.ddc	570	de_DE
dc.subject.ddc	600	de_DE
dc.title	Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies	de_DE
dc.type	Article	de_DE
utue.quellen.id	20240124000000_00593
utue.personen.roh	Wollstadt, Patricia
utue.personen.roh	Rathbun, Daniel L.
utue.personen.roh	Usrey, W. Martin
utue.personen.roh	Bastos, Andre Moraes
utue.personen.roh	Lindner, Michael
utue.personen.roh	Priesemann, Viola
utue.personen.roh	Wibral, Michael
dcterms.isPartOf.ZSTitelID	Plos Computational Biology	de_DE
dcterms.isPartOf.ZS-Issue	Article e1011567	de_DE
dcterms.isPartOf.ZS-Volume	19 (11)	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE