Feb 14, 2022 · Abstract. Crossbar-based neuromorphic chips promise improved energy efficiency for spiking neural networks (SNNs), but suffer from the limited ...
Feb 14, 2022 · Resource efficiency is greatly improved by coresets for neuromorphic computing. •. Large-scale spiking neural network support is achieved by ...
Experiment results show that CSM can efficiently support complex network structures as well as significantly improving accuracies. Up to 4.6% improvement ...
Oct 7, 2022 · Corrigendum to “Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency” ...
Corrigendum to “Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency” [Neurocomputing (2022) ...
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Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency. L Yang, H Zhang, T Luo, C Qu, MTL Aung ...
Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency. Neurocomputing 474: 128-140 (2022).
Corrigendum to "Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency" [Neurocomputing (2022) ...
Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency. L Yang, H Zhang, T Luo, C Qu, MTL Aung ...
Feb 17, 2022 · Do et al., “Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency,” ...