2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.NE2022★ 2 cited
Improving Spiking Neural Network Accuracy Using Time-based Neurons
Hanseok Kim, Woo-Seok Choi
Due to the fundamental limit to reducing power consumption of running deep learning models on von-Neumann architecture, research on neuromorphic computing systems based on low-powe…
cs.NE2022
Energy-Efficient High-Accuracy Spiking Neural Network Inference Using Time-Domain Neurons
Joonghyun Song, Jiwon Shin, Hanseok Kim +1
Due to the limitations of realizing artificial neural networks on prevalent von Neumann architectures, recent studies have presented neuromorphic systems based on spiking neural ne…