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

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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 Artikel 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)


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