Adaptive Learning Rule for Hardware-based Deep Neural Networks Using Electronic Synapse Devices. - Suhwan Lim; Jong-Ho Bae; Jai-Ho Eum; Sungtae Lee; Chul-Heung Kim; Byung-Gook Park; Jong-Ho Lee 002 (CoRR, 2017)

Hardware-based Neural Networks using a Gated Schottky Diode as a Synapse Device. - Suhwan Lim; Jong-Ho Bae; Jai-Ho Eum; Sungtae Lee; Chul-Heung Kim; Dongseok Kwon; Jong-Ho Lee 002 (ISCAS, 2018)

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; Byung-Gook Park; Jong-Ho Lee 002 (CoRR, 2018)

A Spiking Neural Network with a Global Self-Controller for Unsupervised Learning Based on Spike-Timing-Dependent Plasticity Using Flash Memory Synaptic Devices. - Won-Mook Kang; Chul-Heung Kim; Soochang Lee; Sung Yun Woo; Jong-Ho Bae; Byung-Gook Park; Jong-Ho Lee 002 (IJCNN, 2019)

Adaptive learning rule for hardware-based deep neural networks using electronic synapse devices. - Suhwan Lim; Jong-Ho Bae; Jai-Ho Eum; Sungtae Lee; Chul-Heung Kim; Dongseok Kwon; Byung-Gook Park; Jong-Ho Lee 002 (Neural Comput. Appl., 2019)

Hardware-based spiking neural network architecture using simplified backpropagation algorithm and homeostasis functionality. - Jangsaeng Kim; Dongseok Kwon; Sung Yun Woo; Won-Mook Kang; Soochang Lee; Seongbin Oh; Chul-Heung Kim; Jong-Ho Bae; Byung-Gook Park; Jong-Ho Lee 002 (Neurocomputing, 2021)

On-chip trainable hardware-based deep Q-networks approximating a backpropagation algorithm. - Jangsaeng Kim; Dongseok Kwon; Sung Yun Woo; Won-Mook Kang; Soochang Lee; Seongbin Oh; Chul-Heung Kim; Jong-Ho Bae; Byung-Gook Park; Jong-Ho Lee 002 (Neural Comput. Appl., 2021)