Sung Chan Jun

Affiliations: 
2000-2002 Computer Science University of New Mexico, Albuquerque, NM, United States 
 2002-2007 Los Alamos National Laboratory, Los Alamos, NM, United States 
 2007- Electrical Engineering and Computer Science Gwangju Institute of Science and Technology (GIST), South Korea 
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"Sung Jun"
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Publications

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Jang H, Park JS, Jun SC, et al. (2023) TSANet: multibranch attention deep neural network for classifying tactile selective attention in brain-computer interfaces. Biomedical Engineering Letters. 14: 45-55
Ahn S, Jun SC. (2021) Corrigendum: Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces - Current Limitations and Future Directions. Frontiers in Human Neuroscience. 15: 645869
Kwon M, Cho H, Won K, et al. (2020) Use of Both Eyes-Open and Eyes-Closed Resting States May Yield a More Robust Predictor of Motor Imagery BCI Performance Electronics. 9: 690
Lee J, Won K, Kwon M, et al. (2020) CNN With Large Data Achieves True Zero-Training in Online P300 Brain-Computer Interface Ieee Access. 8: 74385-74400
Kwon M, Han S, Kim K, et al. (2019) Super-Resolution for Improving EEG Spatial Resolution using Deep Convolutional Neural Network-Feasibility Study. Sensors (Basel, Switzerland). 19
Lee S, Cho H, Kim K, et al. (2019) Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues. Sensors (Basel, Switzerland). 19
Won K, Kwon M, Jang S, et al. (2019) P300 Speller Performance Predictor Based on RSVP Multi-feature. Frontiers in Human Neuroscience. 13: 261
Lee H, Choi J, Kim S, et al. (2019) A Compressive Sensing-Based Automatic Sleep-Stage Classification System With Radial Basis Function Neural Network Ieee Access. 7: 186499-186509
Choi J, Won K, Jun SC. (2019) Acoustic Stimulation Following Sleep Spindle Activity May Enhance Procedural Memory Consolidation During a Nap Ieee Access. 7: 56297-56307
Im C, Seo H, Jun SC. (2019) Geometrical Variation’s Influence on the Effects of Stimulation May be Important in the Conventional and Multi-Array tDCS–Comparison of Electrical Fields Computed Ieee Access. 7: 8557-8569
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