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1 Ergebnisse
1
A Neuromorphic FTJ Model-Driven Design of Charge-Domain Syn..:
, In:
2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM)
,
Zhu, Xiaobao
;
Feng, Ning
;
Liu, Hengyi
... - p. 1-3 , 2024
Link:
https://doi.org/10.1109/EDTM58488.2024.10511574
RT T1 <cTitle>2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM)</cTitle>: T1 <Title>A Neuromorphic FTJ Model-Driven Design of Charge-Domain Synaptic Circuits and Spiking Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10511574&Exemplar=1&LAN=DE A1 Zhu, Xiaobao A1 Feng, Ning A1 Liu, Hengyi A1 Ji, Ning A1 Zhang, Lining A1 Wang, Runsheng A1 Huang, Ru YR 2024 K1 Power demand K1 Neuromorphics K1 Neurons K1 Software algorithms K1 Tunneling K1 Hardware K1 Software K1 SNN K1 Synapse K1 FTJ K1 STDP K1 Digit recognition SP 1 OP 3 LK http://dx.doi.org/https://doi.org/10.1109/EDTM58488.2024.10511574 DO https://doi.org/10.1109/EDTM58488.2024.10511574 SF ELIB - SuUB Bremen
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