Sung Chan Jun - Publications

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 

46 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2021 Ahn S, Jun SC. Corrigendum: Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces - Current Limitations and Future Directions. Frontiers in Human Neuroscience. 15: 645869. PMID 33597855 DOI: 10.3389/fnhum.2021.645869  0.609
2020 Kwon M, Cho H, Won K, Ahn M, Jun SC. Use of Both Eyes-Open and Eyes-Closed Resting States May Yield a More Robust Predictor of Motor Imagery BCI Performance Electronics. 9: 690. DOI: 10.3390/Electronics9040690  0.384
2020 Lee J, Won K, Kwon M, Jun SC, Ahn M. CNN With Large Data Achieves True Zero-Training in Online P300 Brain-Computer Interface Ieee Access. 8: 74385-74400. DOI: 10.1109/Access.2020.2988057  0.31
2019 Kwon M, Han S, Kim K, Jun SC. Super-Resolution for Improving EEG Spatial Resolution using Deep Convolutional Neural Network-Feasibility Study. Sensors (Basel, Switzerland). 19. PMID 31816868 DOI: 10.3390/S19235317  0.42
2019 Lee S, Cho H, Kim K, Jun SC. Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues. Sensors (Basel, Switzerland). 19. PMID 31652579 DOI: 10.3390/S19204592  0.374
2019 Won K, Kwon M, Jang S, Ahn M, Jun SC. P300 Speller Performance Predictor Based on RSVP Multi-feature. Frontiers in Human Neuroscience. 13: 261. PMID 31417382 DOI: 10.3389/Fnhum.2019.00261  0.34
2019 Lee H, Choi J, Kim S, Jun SC, Lee B. A Compressive Sensing-Based Automatic Sleep-Stage Classification System With Radial Basis Function Neural Network Ieee Access. 7: 186499-186509. DOI: 10.1109/Access.2019.2961326  0.331
2018 Ahn M, Cho H, Ahn S, Jun SC. User's Self-Prediction of Performance in Motor Imagery Brain-Computer Interface. Frontiers in Human Neuroscience. 12: 59. PMID 29497370 DOI: 10.3389/Fnhum.2018.00059  0.635
2017 Seo H, Jun SC. Multi-Scale Computational Models for Electrical Brain Stimulation. Frontiers in Human Neuroscience. 11: 515. PMID 29123476 DOI: 10.3389/Fnhum.2017.00515  0.325
2017 Ahn S, Jun SC. Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces - Current Limitations and Future Directions. Frontiers in Human Neuroscience. 11: 503. PMID 29093673 DOI: 10.3389/Fnhum.2017.00503  0.645
2017 Ahn S, Cho H, Kwon M, Kim K, Kwon H, Kim BS, Chang WS, Chang JW, Jun SC. Interbrain phase synchronization during turn-taking verbal interaction-a hyperscanning study using simultaneous EEG/MEG. Human Brain Mapping. PMID 29024193 DOI: 10.1002/Hbm.23834  0.655
2017 Cho H, Kang MK, Ahn S, Kwon M, Yoon KJ, Kim K, Jun SC. Cognitive responses and cortical oscillatory processing at various stereoscopic depths - a simultaneous EEG/MEG study. Journal of Integrative Neuroscience. 16: 255-273. PMID 28891514 DOI: 10.3233/Jin-170018  0.627
2017 Cho H, Ahn M, Ahn S, Kwon M, Jun SC. EEG datasets for motor imagery brain computer interface. Gigascience. PMID 28472337 DOI: 10.1093/Gigascience/Gix034  0.665
2017 Kang MK, Cho H, Park HM, Jun SC, Yoon KJ. A wellness platform for stereoscopic 3D video systems using EEG-based visual discomfort evaluation technology. Applied Ergonomics. 62: 158-167. PMID 28411726 DOI: 10.1016/J.Apergo.2017.02.022  0.346
2017 Nguyen T, Ahn S, Jang H, Jun SC, Kim JG. Utilization of a combined EEG/NIRS system to predict driver drowsiness. Scientific Reports. 7: 43933. PMID 28266633 DOI: 10.1038/Srep43933  0.642
2016 Seo H, Schaworonkow N, Jun SC, Triesch J. A multi-scale computational model of the effects of TMS on motor cortex. F1000research. 5: 1945. PMID 28408973 DOI: 10.12688/F1000Research.9277.1  0.309
2016 Cho H, Kwon M, Jang H, Lee JB, Yoon KC, Jun SC. Herbal Extracts That Reduce Ocular Oxidative Stress May Enhance Attentive Performance in Humans. Computational Intelligence and Neuroscience. 2016: 4292145. PMID 28090203 DOI: 10.1155/2016/4292145  0.313
2016 Cho H, Kang MK, Ahn S, Kwon M, Yoon KJ, Kim K, Jun SC. Cortical Responses and Shape Complexity of Stereoscopic Image - A Simultaneous EEG/MEG Study. Neuro-Signals. 24: 102-112. PMID 27771723 DOI: 10.1159/000442617  0.585
2016 Seo H, Kim D, Jun SC. Effect of Anatomically Realistic Full-Head Model on Activation of Cortical Neurons in Subdural Cortical Stimulation-A Computational Study. Scientific Reports. 6: 27353. PMID 27273817 DOI: 10.1038/Srep27353  0.308
2016 Ahn S, Nguyen T, Jang H, Kim JG, Jun SC. Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data. Frontiers in Human Neuroscience. 10: 219. PMID 27242483 DOI: 10.3389/Fnhum.2016.00219  0.627
2016 Nguyen T, Ahn S, Jang H, Jun SC, Kim JG. Applying support vector machine on hybrid fNIRS/EEG signal to classify driver's conditions(Conference Presentation) Proceedings of Spie. 9690: 969003. DOI: 10.1117/12.2208556  0.652
2015 Ahn S, Kim K, Jun SC. Steady-State Somatosensory Evoked Potential for Brain-Computer Interface-Present and Future. Frontiers in Human Neuroscience. 9: 716. PMID 26834611 DOI: 10.3389/Fnhum.2015.00716  0.635
2015 Shin Y, Lee S, Ahn M, Cho H, Jun SC, Lee HN. Simple adaptive sparse representation based classification schemes for EEG based brain-computer interface applications. Computers in Biology and Medicine. 66: 29-38. PMID 26378500 DOI: 10.1016/J.Compbiomed.2015.08.017  0.354
2015 Kim D, Jeong J, Jeong S, Kim S, Jun SC, Chung E. Validation of Computational Studies for Electrical Brain Stimulation With Phantom Head Experiments. Brain Stimulation. PMID 26209594 DOI: 10.1016/J.Brs.2015.06.009  0.319
2015 Seo H, Kim D, Jun SC. Computational Study of Subdural Cortical Stimulation: Effects of Simulating Anisotropic Conductivity on Activation of Cortical Neurons. Plos One. 10: e0128590. PMID 26057524 DOI: 10.1371/Journal.Pone.0128590  0.31
2015 Ahn M, Jun SC. Performance variation in motor imagery brain-computer interface: a brief review. Journal of Neuroscience Methods. 243: 103-10. PMID 25668430 DOI: 10.1016/J.Jneumeth.2015.01.033  0.391
2015 Shin Y, Lee S, Ahn M, Cho H, Jun SC, Lee HN. Noise robustness analysis of sparse representation based classification method for non-stationary EEG signal classification Biomedical Signal Processing and Control. 21: 8-18. DOI: 10.1016/J.Bspc.2015.05.007  0.39
2014 Kim D, Seo H, Kim HI, Jun SC. Computational study on subdural cortical stimulation - the influence of the head geometry, anisotropic conductivity, and electrode configuration. Plos One. 9: e108028. PMID 25229673 DOI: 10.1371/Journal.Pone.0108028  0.317
2014 Ahn M, Lee M, Choi J, Jun SC. A review of brain-computer interface games and an opinion survey from researchers, developers and users. Sensors (Basel, Switzerland). 14: 14601-33. PMID 25116904 DOI: 10.3390/S140814601  0.304
2013 Ahn M, Ahn S, Hong JH, Cho H, Kim K, Kim BS, Chang JW, Jun SC. Gamma band activity associated with BCI performance: simultaneous MEG/EEG study. Frontiers in Human Neuroscience. 7: 848. PMID 24367322 DOI: 10.3389/Fnhum.2013.00848  0.662
2013 Ahn M, Cho H, Ahn S, Jun SC. High theta and low alpha powers may be indicative of BCI-illiteracy in motor imagery. Plos One. 8: e80886. PMID 24278339 DOI: 10.1371/Journal.Pone.0080886  0.642
2013 Hong JH, Ahn M, Kim K, Jun SC. Localization of coherent sources by simultaneous MEG and EEG beamformer. Medical & Biological Engineering & Computing. 51: 1121-35. PMID 23793511 DOI: 10.1007/S11517-013-1092-Z  0.401
2012 Ahn M, Hong JH, Jun SC. Feasibility of approaches combining sensor and source features in brain-computer interface. Journal of Neuroscience Methods. 204: 168-78. PMID 22108142 DOI: 10.1016/J.Jneumeth.2011.11.002  0.344
2012 Ahn S, Kim D, Hong JH, Jun SC. Effect of realistic human head modelling on brain source distribution Electronics Letters. 48: 1095-1097. DOI: 10.1049/El.2012.1569  0.627
2010 Ko S, Jun SC. Beamformer for simultaneous magnetoencephalography and electroencephalography analysis Journal of Applied Physics. 107: 09B315. DOI: 10.1063/1.3360184  0.376
2010 Ahn M, Hong JH, Jun SC. Source Space Based Brain Computer Interface Frontiers in Neuroscience. 4: 366-369. DOI: 10.1007/978-3-642-12197-5_86  0.391
2010 Hong JH, Ahn M, Jun SC. Single-Trial Analysis for Empirical MEG Data Frontiers in Neuroscience. 4: 163-166. DOI: 10.1007/978-3-642-12197-5_35  0.336
2010 Hong JH, Jun SC. Speeding-up MEG beamforming source imaging by correlation between measurement and lead-field vector Ifmbe Proceedings. 28: 148-151. DOI: 10.1007/978-3-642-12197-5_31  0.332
2008 Jun SC, George JS, Kim W, Paré-Blagoev J, Plis S, Ranken DM, Schmidt DM. Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMC. Neuroimage. 40: 1581-94. PMID 18314351 DOI: 10.1016/J.Neuroimage.2007.12.029  0.36
2007 Plis SM, George JS, Jun SC, Ranken DM, Volegov PL, Schmidt DM. Probabilistic forward model for electroencephalography source analysis. Physics in Medicine and Biology. 52: 5309-27. PMID 17762088 DOI: 10.1088/0031-9155/52/17/014  0.336
2007 Plis SM, George JS, Jun SC, Paré-Blagoev J, Ranken DM, Wood CC, Schmidt DM. Modeling spatiotemporal covariance for magnetoencephalography or electroencephalography source analysis. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 75: 011928. PMID 17358205 DOI: 10.1103/Physreve.75.011928  0.32
2006 Jun SC, George JS, Plis SM, Ranken DM, Schmidt DM, Wood CC. Improving source detection and separation in a spatiotemporal Bayesian inference dipole analysis. Physics in Medicine and Biology. 51: 2395-414. PMID 16675860 DOI: 10.1088/0031-9155/51/10/004  0.328
2005 Jun SC, George JS, Paré-Blagoev J, Plis SM, Ranken DM, Schmidt DM, Wood CC. Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data. Neuroimage. 28: 84-98. PMID 16023866 DOI: 10.1016/J.Neuroimage.2005.06.003  0.36
2005 Jun SC, Pearlmutter BA. Fast robust subject-independent magnetoencephalographic source localization using an artificial neural network. Human Brain Mapping. 24: 21-34. PMID 15593270 DOI: 10.1002/Hbm.20068  0.647
2003 Jun SC, Pearlmutter BA, Nolte G. MEG source localization using an MLP with a distributed output representation. Ieee Transactions On Bio-Medical Engineering. 50: 786-9. PMID 12814246 DOI: 10.1109/Tbme.2003.812154  0.636
2002 Jun SC, Pearlmutter BA, Nolte G. Fast accurate MEG source localization using a multilayer perceptron trained with real brain noise. Physics in Medicine and Biology. 47: 2547-60. PMID 12171339 DOI: 10.1088/0031-9155/47/14/312  0.637
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