63 citations · 95 across the 3 of their papers we have counts for
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cs.NE2020★ 32 cited
Hardware Implementation of Spiking Neural Networks Using Time-To-First-Spike Encoding
Seongbin Oh, Dongseok Kwon, Gyuho Yeom +6
Hardware-based spiking neural networks (SNNs) are regarded as promising candidates for the cognitive computing system due to low power consumption and highly parallel operation. In…
cs.NE2017★ 63 cited
Adaptive Learning Rule for Hardware-based Deep Neural Networks Using Electronic Synapse Devices
Suhwan Lim, Jong-Ho Bae, Jai-Ho Eum +5
In this paper, we propose a learning rule based on a back-propagation (BP) algorithm that can be applied to a hardware-based deep neural network (HW-DNN) using electronic devices t…