Understanding melanopsin using bayesian generative models − an Introduction

DC ElementWertSprache
dc.contributor.authorEhinger, Benedikt V.
dc.contributor.authorEickelbeck, Dennis
dc.contributor.authorSpoida, Katharina
dc.contributor.authorHerlitze, Stefan
dc.contributor.authorKönig, Peter
dc.date.accessioned2022-04-19T14:03:42Z-
dc.date.available2022-04-19T14:03:42Z-
dc.date.issued2016
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/52302-
dc.publisherCold Spring Harbor Laboratory
dc.relation.ispartofbioRxiv
dc.rightscc-by
dc.subjectComputer science
dc.subjectBayesian probability
dc.subjectMachine learning
dc.subjectInference
dc.subjectBayesian inference
dc.subjectArtificial intelligence
dc.subjectGenerative grammar
dc.subjectMelanopsin
dc.subjectGenerative model
dc.titleUnderstanding melanopsin using bayesian generative models − an Introduction
dc.typejournal article
dc.identifier.doihttps://doi.org/10.1101/043273
dc.description.startpage043273
dc.identifier.externalhttps://openalex.org/W2345434680
dcterms.oaStatustrue
local.import.sourcefileopenalex_uos_20220409.ris
crisitem.author.deptInstitut für Kognitionswissenschaft-
crisitem.author.deptInstitut für Kognitionswissenschaft-
crisitem.author.deptFB 05 - Biologie/Chemie-
crisitem.author.deptidinstitute28-
crisitem.author.deptidinstitute28-
crisitem.author.deptidfb05-
crisitem.author.orcid0000-0003-3654-5267-
crisitem.author.parentorgFB 08 - Humanwissenschaften-
crisitem.author.parentorgFB 08 - Humanwissenschaften-
crisitem.author.parentorgUniversität Osnabrück-
crisitem.author.grandparentorgUniversität Osnabrück-
crisitem.author.grandparentorgUniversität Osnabrück-
crisitem.author.netidEhBe492-
crisitem.author.netidKoPe298-
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