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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/neco/MetznerYVSK24>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Achim_Schilling>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Claus_Metzner>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Dennis_Voelkl>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Marius_E._Yamakou>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Patrick_Krauss>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1162%2Fneco%5Fa%5F01651>
foaf:homepage <https://doi.org/10.1162/neco_a_01651>
dc:identifier DBLP journals/neco/MetznerYVSK24 (xsd:string)
dc:identifier DOI doi.org%2F10.1162%2Fneco%5Fa%5F01651 (xsd:string)
dcterms:issued 2024 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/neco>
rdfs:label Quantifying and Maximizing the Information Flux in Recurrent Neural Networks. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Achim_Schilling>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Claus_Metzner>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Dennis_Voelkl>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Marius_E._Yamakou>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Patrick_Krauss>
swrc:month March (xsd:string)
swrc:number 3 (xsd:string)
swrc:pages 351-384 (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/neco/MetznerYVSK24/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/neco/MetznerYVSK24>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/neco/neco36.html#MetznerYVSK24>
rdfs:seeAlso <https://doi.org/10.1162/neco_a_01651>
dc:title Quantifying and Maximizing the Information Flux in Recurrent Neural Networks. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume 36 (xsd:string)