most citedAdaptive Learning Rule for Hardware-based Deep Neural Networks Using Electronic Synapse Devices

63 citations · 64 across the 2 of their papers we have counts for

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cs.NE2018★ 1 cited

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…

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…