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1 Ergebnisse
1
SDM-SNN: Sparse Distributed Memory Using Constant-Weight Fi..:
, In:
2024 International VLSI Symposium on Technology, Systems and Applications (VLSI TSA)
,
Zhou, Yu-Xuan
;
Liu, Chih-Wei
- p. 1-4 , 2024
Link:
https://doi.org/10.1109/VLSITSA60681.2024.10546346
RT T1 <cTitle>2024 International VLSI Symposium on Technology, Systems and Applications (VLSI TSA)</cTitle>: T1 <Title>SDM-SNN: Sparse Distributed Memory Using Constant-Weight Fibonacci Code for Spiking Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10546346&Exemplar=1&LAN=DE A1 Zhou, Yu-Xuan A1 Liu, Chih-Wei YR 2024 K1 Training K1 Energy consumption K1 Codes K1 Neuromorphic engineering K1 Neurons K1 Focusing K1 Computer architecture K1 sparse distributed memory K1 M-of-N code K1 spiking neural network K1 unsupervised learning K1 STDP learning rule SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/VLSITSA60681.2024.10546346 DO https://doi.org/10.1109/VLSITSA60681.2024.10546346 SF ELIB - SuUB Bremen
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