Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information. - Seongsik Park; Jeonghee Jo; Jongkil Park 001; Yeonjoo Jeong; Jaewook Kim; Suyoun Lee; Joon Young Kwak; Inho Kim; Jong-Keuk Park; Kyeong Seok Lee; Gye Weon Hwang; Hyun Jae Jang (CoRR, 2023)

A More Accurate Approximation of Activation Function with Few Spikes Neurons. - Dayena Jeong; Jaewoo Park; Jeonghee Jo; Jongkil Park 001; Jaewook Kim; Hyun Jae Jang; Suyoun Lee; Seongsik Park (CoRR, 2024)

Network Representation Learning for Biophysical Neural Network Analysis. - Young-Mok Ha; Yongjoo Kim; Hyun Jae Jang; Seungyeon Lee; Eunji Pak (CoRR, 2024)

Implementation of two-step gradual reset scheme for enhancing state uniformity of 2D hBN-based memristors for image processing. - Dongyeon Woo; Gichang Noh; Eunpyo Park; Min Jee Kim; Dae Kyu Lee; Yong Woo Sung; Jaewook Kim; Yeonjoo Jeong; Jongkil Park 001; Seongsik Park; Hyun Jae Jang; Nakwon Choi; et al. (Neuromorph. Comput. Eng., 2024)

Late Breaking Results: Improving Deep SNNs with Gradient Clipping and Noise Exploitation in Neuromorphic Devices. - Seongsik Park; Jongkil Park 001; Hyun Jae Jang; Jaewook Kim; YeonJoo Jeong; Gye Weon Hwang; Inho Kim; Jong-Keuk Park; Kyeong Seok Lee; Suyoun Lee (DATE, 2025)