Journal Article

FZJ-2022-05400

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Unified field theoretical approach to deep and recurrent neuronal networks

Segadlo, K. ; Epping, B. (Corresponding author)FZJ* ; van Meegen, A.FZJ* ; Dahmen, D.FZJ* ; Krämer, M. ; Helias, M.FZJ*

2022
IOP Publ. Bristol

This record in other databases:    

Please use a persistent id in citations: http://hdl.handle.net/2128/32981  doi:10.1088/1742-5468/ac8e57

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Contributing Institute(s):

1. Computational and Systems Neuroscience (INM-6)
2. Theoretical Neuroscience (IAS-6)
3. Jara-Institut Brain structure-function relationships (INM-10)

Research Program(s):

1. 5232 - Computational Principles (POF4-523) (POF4-523)
2. HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)
3. ACA - Advanced Computing Architectures (SO-092) (SO-092)
4. RenormalizedFlows - Transparent Deep Learning with Renormalized Flows (BMBF-01IS19077A) (BMBF-01IS19077A)
5. SDS005 - Towards an integrated data science of complex natural systems (PF-JARA-SDS005) (PF-JARA-SDS005)

Appears in the scientific report 2022

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; Essential Science Indicators ; IF < 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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