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1 Ergebnisse
1
Biologically Plausible Learning on Neuromorphic Hardware Ar..:
, In:
2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS)
,
Wolters, Christopher
;
Taylor, Brady
;
Hanson, Edward
... - p. 733-737 , 2023
Link:
https://doi.org/10.1109/MWSCAS57524.2023.10405905
RT T1 <cTitle>2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS)</cTitle>: T1 <Title>Biologically Plausible Learning on Neuromorphic Hardware Architectures</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10405905&Exemplar=1&LAN=DE A1 Wolters, Christopher A1 Taylor, Brady A1 Hanson, Edward A1 Yang, Xiaoxuan A1 Schlichtmann, Ulf A1 Chen, Yiran YR 2023 SN 1558-3899 K1 Training K1 Backpropagation K1 Neuromorphics K1 Biological system modeling K1 Memory management K1 Hardware K1 Standards K1 Compute-in-memory K1 deep neural network K1 direct feedback alignment K1 hardware/software co-design SP 733 OP 737 LK http://dx.doi.org/https://doi.org/10.1109/MWSCAS57524.2023.10405905 DO https://doi.org/10.1109/MWSCAS57524.2023.10405905 SF ELIB - SuUB Bremen
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