M
Myonglae Chu
Researcher at Gwangju Institute of Science and Technology
Publications - 13
Citations - 580
Myonglae Chu is an academic researcher from Gwangju Institute of Science and Technology. The author has contributed to research in topics: Neuromorphic engineering & Supervised learning. The author has an hindex of 7, co-authored 12 publications receiving 465 citations. Previous affiliations of Myonglae Chu include Katholieke Universiteit Leuven.
Papers
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Journal ArticleDOI
Neuromorphic Hardware System for Visual Pattern Recognition With Memristor Array and CMOS Neuron
Myonglae Chu,Byoungho Kim,Sangsu Park,Hyunsang Hwang,Moongu Jeon,Byoung Hun Lee,Byung-Geun Lee +6 more
TL;DR: A neuromorphic system for visual pattern recognition realized in hardware and presented and implemented with passive synaptic devices based on modified spike-timing-dependent plasticity, which has been successfully demonstrated by training and recognizing number images from 0 to 9.
Journal ArticleDOI
Electronic system with memristive synapses for pattern recognition
Sangsu Park,Myonglae Chu,Jongin Kim,Jinwoo Noh,Moongu Jeon,Byoung Hun Lee,Hyunsang Hwang,Boreom Lee,Byung-Geun Lee +8 more
TL;DR: The proposed PCMO-based memristive synapse exhibits the necessary gradual and symmetrical conductance changes, and has been successfully adapted to a neural network system that is likely to intrigue many researchers and stimulate a new research direction.
Proceedings ArticleDOI
Oxide based nanoscale analog synapse device for neural signal recognition system
Daeseok Lee,Jaesung Park,Kibong Moon,Junwoo Jang,Sangsu Park,Myonglae Chu,Jongin Kim,Jinwoo Noh,Moongu Jeon,Byoung Hun Lee,Boreom Lee,Byung-Geun Lee,Hyunsang Hwang +12 more
TL;DR: By optimizing redox reaction at the metal/oxide interface, the oxide based analog synpase can obtain stable analog synapse characteristics and wafer scale switching uniformity and the feasibility of neuromorphic hardware system with oxide synapse array device which recognizes theEEG signal and rat's neural signal is confirmed.
Journal ArticleDOI
Analog Synapse Device With 5-b MLC and Improved Data Retention for Neuromorphic System
Kibong Moon,Euijun Cha,Jaesung Park,Sang-Gyun Gi,Myonglae Chu,Kyungjoon Baek,Byung-Geun Lee,Sang Ho Oh,Hyunsang Hwang +8 more
TL;DR: In this article, the analog synapse characteristics of a PCMO-based interface switching device with varying electrode materials were investigated, and a Mo electrode was proposed to increase the oxidation barrier height.
Proceedings ArticleDOI
High density neuromorphic system with Mo/Pr0.7Ca0.3MnO3 synapse and NbO2 IMT oscillator neuron
Kibong Moon,Euijun Cha,Jaesung Park,Sang-Gyun Gi,Myonglae Chu,Kyungjoon Baek,Byung-Geun Lee,Sang Ho Oh,Hyunsang Hwang +8 more
TL;DR: In this article, a novel nanoscale synapse and neuron devices for ultra-high density neuromorphic system was reported. And the NbO2-based IMT oscillator was developed for neuron application.