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)

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)

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)

NeuroTorch: DRAM-free nonvolatile memory-based hybrid training compute-in-memory system simulator. - JongHyun Ko; Inseok Lee; Kyu-Ho Lee; Joon Hwang; Min-Kyu Park; Jiseong Im; Jeonghyun Kim; Ryun-Han Koo; Sung-Ho Park; Jae-Joon Kim; Jong-Ho Lee (Neurocomputing, 2025)

Vertical NAND flash memory-based matrix-matrix multiplication scheme for energy-efficient attention score computation. - JongHyun Ko; Sung-Ho Park; Jiseong Im; Jeonghyun Kim; Ryun-Han Koo; Yeongheon Yang; Jong-Ho Lee (Neurocomputing, 2025)