| dc.contributor.author | Geisler, David | |
| dc.contributor.author | Kasneci, Enkelejda | |
| dc.date.accessioned | 2021-06-02T15:01:17Z | |
| dc.date.available | 2021-06-02T15:01:17Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | http://hdl.handle.net/10900/115840 | |
| dc.language.iso | en | de_DE |
| dc.publisher | Elsevier | de_DE |
| dc.relation.uri | https://doi.org/10.1016/j.neucom.2020.07.119 | de_DE |
| 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.personen.roh | Geisler, David | |
| utue.personen.roh | Duchowski, Andrew T | |
| utue.personen.roh | Kasneci, Enkelejda | |
| dcterms.isPartOf.ZSTitelID | Neurocomputing | de_DE |
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