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001 | 1005225 | ||
005 | 20240313094949.0 | ||
037 | _ | _ | |a FZJ-2023-01373 |
100 | 1 | _ | |a Fischer, Kirsten |0 P:(DE-Juel1)180150 |b 0 |e Corresponding author |
111 | 2 | _ | |a Les Houches Workshop: Towards a theory of artificial and biological neural networks |c Les Houches |d 2023-02-19 - 2023-02-24 |w France |
245 | _ | _ | |a Information transfer between correlation functions in neural networks |
260 | _ | _ | |c 2023 |
336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
336 | 7 | _ | |a conferenceObject |2 DRIVER |
336 | 7 | _ | |a CONFERENCE_POSTER |2 ORCID |
336 | 7 | _ | |a Output Types/Conference Poster |2 DataCite |
336 | 7 | _ | |a Poster |b poster |m poster |0 PUB:(DE-HGF)24 |s 1704187760_26652 |2 PUB:(DE-HGF) |x After Call |
536 | _ | _ | |a 5232 - Computational Principles (POF4-523) |0 G:(DE-HGF)POF4-5232 |c POF4-523 |f POF IV |x 0 |
536 | _ | _ | |a 5234 - Emerging NC Architectures (POF4-523) |0 G:(DE-HGF)POF4-5234 |c POF4-523 |f POF IV |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 MSNN - Theory of multi-scale neuronal networks (HGF-SMHB-2014-2018) |0 G:(DE-Juel1)HGF-SMHB-2014-2018 |c HGF-SMHB-2014-2018 |f MSNN |x 4 |
536 | _ | _ | |a neuroIC002 - Recurrence and stochasticity for neuro-inspired computation (EXS-SF-neuroIC002) |0 G:(DE-82)EXS-SF-neuroIC002 |c EXS-SF-neuroIC002 |x 5 |
700 | 1 | _ | |a Rene, Alexandre |0 P:(DE-Juel1)178936 |b 1 |
700 | 1 | _ | |a Keup, Christian |0 P:(DE-Juel1)171384 |b 2 |
700 | 1 | _ | |a Layer, Moritz |0 P:(DE-Juel1)174497 |b 3 |
700 | 1 | _ | |a Dahmen, David |0 P:(DE-Juel1)156459 |b 4 |
700 | 1 | _ | |a Helias, Moritz |0 P:(DE-Juel1)144806 |b 5 |
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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 |
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)POF4-5234 |x 1 |
914 | 1 | _ | |y 2023 |
920 | _ | _ | |l yes |
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 | _ | _ | |a poster |
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980 | _ | _ | |a UNRESTRICTED |
981 | _ | _ | |a I:(DE-Juel1)IAS-6-20130828 |
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