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1 Ergebnisse
1
An End-to-End SoC for Brain-Inspired CNN-SNN Hybrid Applica..:
, In:
2024 IEEE International Symposium on Circuits and Systems (ISCAS)
,
Zhang, Zhaotong
;
Zhong, Yi
;
Cui, Yingying
... - p. 1-5 , 2024
Link:
https://doi.org/10.1109/ISCAS58744.2024.10558308
RT T1 <cTitle>2024 IEEE International Symposium on Circuits and Systems (ISCAS)</cTitle>: T1 <Title>An End-to-End SoC for Brain-Inspired CNN-SNN Hybrid Applications</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10558308&Exemplar=1&LAN=DE A1 Zhang, Zhaotong A1 Zhong, Yi A1 Cui, Yingying A1 Ding, Yawei A1 Xue, Yukun A1 Li, Qibin A1 Yang, Ruining A1 Cao, Jian A1 Wang, Yuan YR 2024 SN 2158-1525 K1 Accuracy K1 Visual systems K1 Feature extraction K1 Throughput K1 Encoding K1 System-on-chip K1 Convolutional neural networks K1 Spiking Neural Network (SNN) K1 accelerator K1 Convolutional Neural Network (CNN) K1 System-on-Chip (SoC) K1 End to End SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ISCAS58744.2024.10558308 DO https://doi.org/10.1109/ISCAS58744.2024.10558308 SF ELIB - SuUB Bremen
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