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)

Review of candidate devices for neuromorphic applications. - Jong-Ho Lee 002; Yoohyun Noh; Hyeongsu Kim; Jangsaeng Kim; Jong-Ho Bae; Sung Yun Woo; Sungtae Lee; Suhwan Lim; Won-Mook Kang; Young-Tak Seo; Soochang Lee; Dongseok Kwon; et al. (ESSDERC, 2019)

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)

Investigation of Neural Networks Using Synapse Arrays Based on Gated Schottky Diodes. - Suhwan Lim; Dongseok Kwon; Sungtae Lee; Hyeongsu Kim; Jong-Ho Bae; 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)

Reliability of Ferroelectric HfO2-based Memories: From MOS Capacitor to FeFET. - Ava J. Tan; Li-Chen Wang; Yu-Hung Liao; Jong-Ho Bae; Chenming Hu; Sayeef S. Salahuddin (DRC, 2020)

Low-Power and High-Density Neuron Device for Simultaneous Processing of Excitatory and Inhibitory Signals in Neuromorphic Systems. - Sung Yun Woo; Dongseok Kwon; Nagyong Choi; Won-Mook Kang; Young-Tak Seo; Min Kyu Park; Jong-Ho Bae; Byung-Gook Park; Jong-Ho Lee 002 (IEEE Access, 2020)

Efficient precise weight tuning protocol considering variation of the synaptic devices and target accuracy. - Hyeongsu Kim; Jong-Ho Bae; Suhwan Lim; Sungtae Lee; Young-Tak Seo; Dongseok Kwon; Byung-Gook Park; Jong-Ho Lee 002 (Neurocomputing, 2020)

Vertical and lateral charge losses during short time retention in 3-D NAND flash memory. - Yongwoo Lee; Jinsu Yoon; Kwangmin Lim; Bongsik Choi; Geon-Hwi Park; Ju Won Jeon; Jong-Ho Bae; Dong Myong Kim; Dae Hwan Kim; Eunmee Kwon; Sung-Jin Choi (ESSDERC, 2021)

Threshold-Variation-Tolerant Coupling-Gate α-IGZO Synaptic Transistor for More Reliably Controllable Hardware Neuromorphic System. - Dongyeon Kang; Jun Tae Jang; Shinyoung Park; Md. Hasan Raza Ansari; Jong-Ho Bae; Sung-Jin Choi; Dong Myong Kim; Changwook Kim; Seongjae Cho; Dae Hwan Kim (IEEE Access, 2021)

Spiking Neural Networks With Time-to-First-Spike Coding Using TFT-Type Synaptic Device Model. - Seongbin Oh; Soochang Lee; Sung Yun Woo; Dongseok Kwon; Jiseong Im; Joon Hwang; Jong-Ho Bae; Byung-Gook Park; Jong-Ho Lee 002 (IEEE Access, 2021)

Pulse-Width Modulation Neuron Implemented by Single Positive-Feedback Device. - Sung Yun Woo; Dongseok Kwon; Byung-Gook Park; Jong-Ho Lee 002; Jong-Ho Bae (CoRR, 2021)

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)

Short- and Long-Term Memory Based on a Floating-Gate IGZO Synaptic Transistor. - Dongyeon Kang; Wonjung Kim; Jun Tae Jang; Changwook Kim; Jung Nam Kim; Sung-Jin Choi; Jong-Ho Bae; Dong Myong Kim; Yoon Kim; Dae Hwan Kim (IEEE Access, 2023)

1/f Noise in Synaptic Ferroelectric Tunnel Junction: Impact on Convolutional Neural Network. - Wonjun Shin; Kyung Kyu Min; Jong-Ho Bae; Jaehyeon Kim; Ryun-Han Koo; Dongseok Kwon; Jae-Joon Kim; Daewoong Kwon; Jong-Ho Lee 002 (Adv. Intell. Syst., 2023)

Analog Synaptic Devices Based on IGZO Thin-Film Transistors with a Metal-Ferroelectric-Metal-Insulator-Semiconductor Structure for High-Performance Neuromorphic Systems. - Dongseok Kwon; Eun Chan Park; Wonjun Shin; Ryun-Han Koo; Joon Hwang; Jong-Ho Bae; Daewoong Kwon; Jong-Ho Lee 002 (Adv. Intell. Syst., 2023)

Improvement of the Symmetry and Linearity of Synaptic Weight Update by Combining the InGaZnO Synaptic Transistor and Memristor. - Tae Jun Yang; Jung Rae Cho; Hyunkyu Lee; Hee Jun Lee; Seung Joo Myoung; Da Yeon Lee; Sung-Jin Choi; Jong-Ho Bae; Dong Myong Kim; Changwook Kim; Jiyong Woo; Dae Hwan Kim (IEEE Access, 2024)

Si-Based Dual-Gate Field-Effect Transistor Array for Low-Power On-Chip Trainable Hardware Neural Networks. - Kyu-Ho Lee; Dongseok Kwon; In-Seok Lee; Joon Hwang; Jiseong Im; Jong-Ho Bae; Woo Young Choi; Sung Yun Woo; Jong-Ho Lee 002 (Adv. Intell. Syst., 2024)

Development of an In-Pipe Inspection Robot for Large-Diameter Water Pipes. - Kwang-Woo Jeon; Eui-Jung Jung; Jong-Ho Bae; Sung-Ho Park; Jung-Jun Kim; Goobong Chung; Hyun-Joon Chung; Hak Yi (Sensors, 2024)

Efficient Hybrid Training Method for Neuromorphic Hardware Using Analog Nonvolatile Memory. - Dongseok Kwon; Sung Yun Woo; Joon Hwang; Hyeongsu Kim; Jong-Ho Bae; Wonjun Shin; Byung-Gook Park; Jong-Ho Lee 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)