Hauptseite > Workflowsammlungen > Publikationsgebühren > Unified field theoretical approach to deep and recurrent neuronal networks > print

001     912197
005     20240313103120.0
024 7 _ |a 10.1088/1742-5468/ac8e57
|2 doi
024 7 _ |a 2128/32981
|2 Handle
024 7 _ |a WOS:000865596900001
|2 WOS
037 _ _ |a FZJ-2022-05400
082 _ _ |a 530
100 1 _ |a Segadlo, Kai
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Unified field theoretical approach to deep and recurrent neuronal networks
260 _ _ |a Bristol
|c 2022
|b IOP Publ.
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1670390012_17359
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
536 _ _ |a 5232 - Computational Principles (POF4-523)
|0 G:(DE-HGF)POF4-5232
|c POF4-523
|f POF IV
|x 0
536 _ _ |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)
|0 G:(EU-Grant)945539
|c 945539
|f H2020-SGA-FETFLAG-HBP-2019
|x 1
536 _ _ |a ACA - Advanced Computing Architectures (SO-092)
|0 G:(DE-HGF)SO-092
|c SO-092
|x 2
536 _ _ |a RenormalizedFlows - Transparent Deep Learning with Renormalized Flows (BMBF-01IS19077A)
|0 G:(DE-Juel-1)BMBF-01IS19077A
|c BMBF-01IS19077A
|x 3
536 _ _ |a SDS005 - Towards an integrated data science of complex natural systems (PF-JARA-SDS005)
|0 G:(DE-Juel-1)PF-JARA-SDS005
|c PF-JARA-SDS005
|x 4
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Epping, Bastian
|0 P:(DE-Juel1)191561
|b 1
|e Corresponding author
700 1 _ |a van Meegen, Alexander
|0 P:(DE-Juel1)173607
|b 2
|u fzj
700 1 _ |a Dahmen, David
|0 P:(DE-Juel1)156459
|b 3
|u fzj
700 1 _ |a Krämer, Michael
|0 P:(DE-Juel1)162237
|b 4
700 1 _ |a Helias, Moritz
|0 P:(DE-Juel1)144806
|b 5
|u fzj
773 _ _ |a 10.1088/1742-5468/ac8e57
|g Vol. 2022, no. 10, p. 103401 -
|0 PERI:(DE-600)2138944-5
|n 10
|p 103401
|t Journal of statistical mechanics: theory and experiment
|v 2022
|y 2022
|x 1742-5468
856 4 _ |u https://juser.fz-juelich.de/record/912197/files/Segadlo_2022_J._Stat._Mech._2022_103401.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:912197
|p openaire
|p open_access
|p driver
|p VDB
|p ec_fundedresources
|p openCost
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)191561
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)173607
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)156459
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)144806
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-523
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Neuromorphic Computing and Network Dynamics
|9 G:(DE-HGF)POF4-5232
|x 0
914 1 _ |y 2022
915 p c |a Local Funding
|0 PC:(DE-HGF)0001
|2 APC
915 p c |a DFG OA Publikationskosten
|0 PC:(DE-HGF)0002
|2 APC
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-02-03
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-02-03
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2022-11-10
|w ger
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b J STAT MECH-THEORY E : 2021
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2022-11-10
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2022-11-10
920 1 _ |0 I:(DE-Juel1)INM-6-20090406
|k INM-6
|l Computational and Systems Neuroscience
|x 0
920 1 _ |0 I:(DE-Juel1)IAS-6-20130828
|k IAS-6
|l Theoretical Neuroscience
|x 1
920 1 _ |0 I:(DE-Juel1)INM-10-20170113
|k INM-10
|l Jara-Institut Brain structure-function relationships
|x 2
980 1 _ |a APC
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-6-20090406
980 _ _ |a I:(DE-Juel1)IAS-6-20130828
980 _ _ |a I:(DE-Juel1)INM-10-20170113
980 _ _ |a APC
981 _ _ |a I:(DE-Juel1)IAS-6-20130828

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21