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)

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)

NAND Flash Based Novel Synaptic Architecture for Highly Robust and High-Density Quantized Neural Networks With Binary Neuron Activation of (1, 0). - Sung-Tae Lee; Dongseok Kwon; Hyeongsu Kim; Honam Yoo; Jong-Ho Lee 002 (IEEE Access, 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)

Hardware Implementation of Spiking Neural Networks Using Time-To-First-Spike Encoding. - Seongbin Oh; Dongseok Kwon; Gyuho Yeom; Won-Mook Kang; Soochang Lee; Sung Yun Woo; Jangsaeng Kim; Min Kyu Park; Jong-Ho Lee 002 (CoRR, 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)

Hardware-Based Spiking Neural Network Using a TFT-Type AND Flash Memory Array Architecture Based on Direct Feedback Alignment. - Won-Mook Kang; Dongseok Kwon; Sung Yun Woo; Soochang Lee; Honam Yoo; Jangsaeng Kim; Byung-Gook Park; Jong-Ho Lee 002 (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)

Direct Gradient Calculation: Simple and Variation-Tolerant On-Chip Training Method for Neural Networks. - Hyungyo Kim; Joon Hwang; Dongseok Kwon; Jangsaeng Kim; Min-Kyu Park; Jiseong Im; Byung-Gook Park; Jong-Ho Lee 002 (Adv. Intell. Syst., 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)

First Demonstration of 1-bit Erase in Vertical NAND Flash Memory. - Honam Yoo; Jong-Won Back; Nam-Hun Kim; Dongseok Kwon; Byung-Gook Park; Jong-Ho Lee 002 (VLSI Technology and Circuits, 2022)

On-Chip Trainable Spiking Neural Networks Using Time-To-First-Spike Encoding. - Jiseong Im; Jaehyeon Kim; Honam Yoo; Jong-Won Baek; Dongseok Kwon; Seongbin Oh; Jangsaeng Kim; Joon Hwang; Byung-Gook Park; Jong-Ho Lee 002 (IEEE Access, 2022)

Neuron Circuits for Low-Power Spiking Neural Networks Using Time-To-First-Spike Encoding. - Seongbin Oh; Dongseok Kwon; Gyuho Yeom; Won-Mook Kang; Soochang Lee; Sung Yun Woo; Jaehyeon Kim; Jong-Ho Lee 002 (IEEE Access, 2022)

Novel, parallel and differential synaptic architecture based on NAND flash memory for high-density and highly-reliable binary neural networks. - Sung-Tae Lee; Hyeongsu Kim; Honam Yoo; Dongseok Kwon; Jong-Ho Lee 002 (Neurocomputing, 2022)

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)

FPIA: Field-Programmable Ising Arrays with In-Memory Computing. - George Higgins Hutchinson; Ethan Sifferman; Tinish Bhattacharya; Dongseok Kwon; Dmitri B. Strukov (ISLPED, 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)

SNNSim: Investigation and Optimization of Large-Scale Analog Spiking Neural Networks Based on Flash Memory Devices. - JongHyun Ko; Dongseok Kwon; Joon Hwang; Kyu-Ho Lee; Seongbin Oh; Jeonghyun Kim; Jiseong Im; Ryun-Han Koo; Jae-Joon Kim; Jong-Ho Lee 002 (Adv. Intell. Syst., 2024)

Toward Optimized In-Memory Reinforcement Learning: Leveraging 1/f Noise of Synaptic Ferroelectric Field-Effect-Transistors for Efficient Exploration. - Jangsaeng Kim; Wonjun Shin; Jiyong Yim; Dongseok Kwon; Daewoong Kwon; Jong-Ho Lee 002 (Adv. Intell. Syst., 2024)

Solving Boolean satisfiability problems with resistive content addressable memories. - Giacomo Pedretti; Fabian Böhm; Tinish Bhattacharya; Arne Heittmann; Xiangyi Zhang; Mohammad Hizzani; George Higgins Hutchinson; Dongseok Kwon; John Moon; Elisabetta Valiante; Ignacio Rozada; Catherine E. Graves; et al. (CoRR, 2025)

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)