Soochang Lee

Emerging memory technologies for neuromorphic computing

Jong-Ho Lee, J. Bae, Suhwan Lim, 2018, Nanotechnology.

A Split-Gate Positive Feedback Device With an Integrate-and-Fire Capability for a High-Density Low-Power Neuron Circuit

Jong-Ho Lee, J. Bae, Suhwan Lim, 2018, Front. Neurosci..

Unsupervised online learning of temporal information in spiking neural network using TFT-type NOR flash memory devices.

Jong-Ho Lee, Chul-Heung Kim, Soochang Lee, 2019, Nanotechnology.

Analog synaptic devices applied to spiking neural networks for reinforcement learning applications

Chul-Heung Kim, Soochang Lee, Jangsaeng Kim, 2022, Semiconductor Science and Technology.

Unsupervised Online Learning With Multiple Postsynaptic Neurons Based on Spike-Timing-Dependent Plasticity Using a Thin-Film Transistor-Type NOR Flash Memory Array.

Byung-Gook Park, Jong-Ho Lee, Chul-Heung Kim, 2019, Journal of nanoscience and nanotechnology.

On-chip trainable hardware-based deep Q-networks approximating a backpropagation algorithm

Byung-Gook Park, Jong-Ho Lee, Jong-Ho Bae, 2021, Neural Computing and Applications.

Neuron Circuits for Low-Power Spiking Neural Networks Using Time-To-First-Spike Encoding pdf

Min Kyu Park, Jong-Ho Lee, Dongseok Kwon, 2020, IEEE Access.

Demonstration of Unsupervised Learning With Spike-Timing-Dependent Plasticity Using a TFT-Type NOR Flash Memory Array

Jaeha Kim, Jong-Ho Lee, Suhwan Lim, 2018, IEEE Transactions on Electron Devices.