Predicting visual perceivability of scene objects through spatio-temporal modeling of retinal receptive fields

dc.contributor.author	Geisler, David
dc.contributor.author	Kasneci, Enkelejda
dc.date.accessioned	2021-10-15T10:30:55Z
dc.date.available	2021-10-15T10:30:55Z
dc.date.issued	2021
dc.identifier.issn	1872-8286
dc.identifier.uri	http://hdl.handle.net/10900/119772
dc.language.iso	en	en
dc.publisher	Elsevier	de_DE
dc.relation.uri	http://dx.doi.org/10.1016/j.neucom.2020.07.119
dc.subject.ddc	004	de_DE
dc.title	Predicting visual perceivability of scene objects through spatio-temporal modeling of retinal receptive fields	de_DE
dc.type	Article	de_DE
utue.quellen.id	20210824232002_00015
utue.publikation.seiten	667-680	de_DE
utue.personen.roh	Geisler, David
utue.personen.roh	Duchowski, Andrew T.
utue.personen.roh	Kasneci, Enkelejda
dcterms.isPartOf.ZSTitelID	Neurocomputing	de_DE
dcterms.isPartOf.ZS-Volume	453	de_DE
utue.fakultaet	Universität Tübingen (ohne Fakultätsangabe)