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1 Ergebnisse
1
HfO2-Based Synaptic Spiking Neural Network Evaluation to Op..:
, In:
2024 IEEE International Symposium on Circuits and Systems (ISCAS)
,
Tushar, SNB
;
Das, Hritom
;
Rose, Garrett S.
- p. 1-5 , 2024
Link:
https://doi.org/10.1109/ISCAS58744.2024.10558518
RT T1 <cTitle>2024 IEEE International Symposium on Circuits and Systems (ISCAS)</cTitle>: T1 <Title>HfO2-Based Synaptic Spiking Neural Network Evaluation to Optimize Design and Testing Cost</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10558518&Exemplar=1&LAN=DE A1 Tushar, SNB A1 Das, Hritom A1 Rose, Garrett S. YR 2024 SN 2158-1525 K1 Sensitivity K1 Power demand K1 System performance K1 Machine learning K1 Stability analysis K1 Sensors K1 Time complexity K1 Memristor K1 Synapse K1 READ current K1 Machine learning model K1 Dot product engine K1 classification K1 memristive levels K1 neuromorphic SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ISCAS58744.2024.10558518 DO https://doi.org/10.1109/ISCAS58744.2024.10558518 SF ELIB - SuUB Bremen
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