Hauptseite > Publikationsdatenbank > Learning rules for CMOS-memristive co-integrated neuromorphic hardware > print

001     1014795
005     20230912211113.0
037 _ _ |a FZJ-2023-03470
100 1 _ |a Siegel, Sebastian
|0 P:(DE-Juel1)174486
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245 _ _ |a Learning rules for CMOS-memristive co-integrated neuromorphic hardware
|f - 2023-09-30
260 _ _ |c 2023
300 _ _ |a 200
336 7 _ |a Output Types/Dissertation
|2 DataCite
336 7 _ |a DISSERTATION
|2 ORCID
336 7 _ |a PHDTHESIS
|2 BibTeX
336 7 _ |a Thesis
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|2 EndNote
336 7 _ |a Dissertation / PhD Thesis
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|s 1694507210_17394
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336 7 _ |a doctoralThesis
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502 _ _ |a Dissertation, RWTH Aachen University, 2023
|c RWTH Aachen University
|b Dissertation
|d 2023
536 _ _ |a 5233 - Memristive Materials and Devices (POF4-523)
|0 G:(DE-HGF)POF4-5233
|c POF4-523
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909 C O |o oai:juser.fz-juelich.de:1014795
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
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|0 G:(DE-HGF)POF4-523
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
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|v Neuromorphic Computing and Network Dynamics
|9 G:(DE-HGF)POF4-5233
|x 0
914 1 _ |y 2023
920 1 _ |0 I:(DE-Juel1)PGI-7-20110106
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920 1 _ |0 I:(DE-82)080009_20140620
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920 1 _ |0 I:(DE-Juel1)PGI-10-20170113
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920 1 _ |0 I:(DE-Juel1)PGI-14-20210412
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|l Neuromorphic Compute Nodes
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980 _ _ |a phd
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)PGI-7-20110106
980 _ _ |a I:(DE-82)080009_20140620
980 _ _ |a I:(DE-Juel1)PGI-10-20170113
980 _ _ |a I:(DE-Juel1)PGI-14-20210412
980 _ _ |a UNRESTRICTED

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