A Load-Insensitive Hybrid LSK Back Telemetry System With Slope-Based Demodulation for Inductively Powered Biomedical Devices. - Hyun-Su Lee; Jisan Ahn; Minil Kang; Hyung-Min Lee (IEEE Trans. Biomed. Circuits Syst., 2022)

CMOS Leaky Integrate-and-Fire Neurons with Local Dynamic Biasing and Inhibitory Self-Oscillation. - Mannhee Cho; Minil Kang; Minseong Um; Hangue Park; Hyung-Min Lee (BioCAS, 2023)

An ECRAM-Based Analog Compute-in-Memory Neuromorphic System with High-Precision Current Readout. - Minseong Um; Minil Kang; Hyunjeong Kwak; Kyungmi Noh; Seyoung Kim; Hyung-Min Lee (BioCAS, 2023)

An Analog Neuromorphic On-Chip Training System with IGZO TFT-Based 6T1C 367-State Synaptic Memory Achieving 0.99-R2 Linearity and 104-Times Enhanced Retention Time. - Minil Kang; Minseong Um; Jongun Won; Jaehyeon Kang; Sangjun Hong; Narae Han; Sangwook Kim; Sangbum Kim; Hyung-Min Lee (CICC, 2024)

An Energy-Efficient Real-Time Wearable ECG Acquisition System With Near-Data Prediagnosis for Mobile Applications. - Seung Hun Choi; Minil Kang; Kon-Woo Kwon; Jin Seok Kim; Jin-Man Jung; Hyung-Min Lee (IEEE Trans. Instrum. Meas., 2025)

Verification of neuromorphic processing accuracy against non-ideal errors in synapse-based neural network systems. - Hwi Jeong Jo; Minil Kang; Minseong Um; Juhee Kim; Kon-Woo Kwon; Seyoung Kim; Hyung-Min Lee (Int. J. Circuit Theory Appl., 2025)

A Multi-Bit ECRAM-Based Analog Neuromorphic System With High-Precision Current Readout Achieving 97.3% Inference Accuracy. - Minseong Um; Minil Kang; Kyeongho Eom; Hyunjeong Kwak; Kyungmi Noh; Jimin Lee; Jeonghoon Son; Jiseok Kwon; Seyoung Kim; Hyung-Min Lee (IEEE Trans. Biomed. Circuits Syst., 2025)