63 citations · 96 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
Unsupervised Online Learning With Multiple Postsynaptic Neurons Based on Spike-Timing-Dependent Plasticity Using a TFT-Type NOR Flash Memory Array
Soochang Lee, Chul-Heung Kim, Seongbin Oh +2
We present a two-layer fully connected neuromorphic system based on a thin-film transistor (TFT)-type NOR flash memory array with multiple postsynaptic (POST) neurons. Unsupervised…
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…