Sung Chan Jun
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Performance variation in motor imagery brain–computer interface: a brief review
M Ahn, SC Jun
Journal of neuroscience methods 243, 103-110, 2015
EEG datasets for motor imagery brain–computer interface
H Cho, M Ahn, S Ahn, M Kwon, SC Jun
GigaScience 6 (7), gix034, 2017
A review of brain-computer interface games and an opinion survey from researchers, developers and users
M Ahn, M Lee, J Choi, SC Jun
Sensors 14 (8), 14601-14633, 2014
Exploring neuro-physiological correlates of drivers' mental fatigue caused by sleep deprivation using simultaneous EEG, ECG, and fNIRS data
S Ahn, T Nguyen, H Jang, JG Kim, SC Jun
Frontiers in human neuroscience 10, 219, 2016
High theta and low alpha powers may be indicative of BCI-illiteracy in motor imagery
M Ahn, H Cho, S Ahn, SC Jun
PloS one 8 (11), e80886, 2013
Utilization of a combined EEG/NIRS system to predict driver drowsiness
T Nguyen, S Ahn, H Jang, SC Jun, JG Kim
Scientific reports 7 (1), 43933, 2017
Gamma band activity associated with BCI performance: simultaneous MEG/EEG study
M Ahn, S Ahn, JH Hong, H Cho, K Kim, BS Kim, JW Chang, SC Jun
Frontiers in human neuroscience 7, 848, 2013
Interbrain phase synchronization during turn‐taking verbal interaction—a hyperscanning study using simultaneous EEG/MEG
S Ahn, H Cho, M Kwon, K Kim, H Kwon, BS Kim, WS Chang, JW Chang, ...
Human brain mapping 39 (1), 171-188, 2018
Multi-modal integration of EEG-fNIRS for brain-computer interfaces–current limitations and future directions
S Ahn, SC Jun
Frontiers in human neuroscience 11, 503, 2017
An SLA-based cloud computing that facilitates resource allocation in the distributed data centers of a cloud provider
S Son, G Jung, SC Jun
The Journal of Supercomputing 64, 606-637, 2013
Achieving a hybrid brain–computer interface with tactile selective attention and motor imagery
S Ahn, M Ahn, H Cho, SC Jun
Journal of neural engineering 11 (6), 066004, 2014
Steady-state somatosensory evoked potential for brain-computer interface—present and future
S Ahn, K Kim, SC Jun
Frontiers in human neuroscience 9, 179038, 2016
Frequency-difference EIT (fdEIT) using weighted difference and equivalent homogeneous admittivity: validation by simulation and tank experiment
SC Jun, J Kuen, J Lee, EJ Woo, D Holder, JK Seo
Physiological measurement 30 (10), 1087, 2009
Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data
SC Jun, JS George, J Paré-Blagoev, SM Plis, DM Ranken, DM Schmidt, ...
NeuroImage 28 (1), 84-98, 2005
Noise robustness analysis of sparse representation based classification method for non-stationary EEG signal classification
Y Shin, S Lee, M Ahn, H Cho, SC Jun, HN Lee
Biomedical Signal Processing and Control 21, 8-18, 2015
Comparison of frequency difference reconstruction algorithms for the detection of acute stroke using EIT in a realistic head-shaped tank
B Packham, H Koo, A Romsauerova, S Ahn, A McEwan, SC Jun, ...
Physiological measurement 33 (5), 767, 2012
A multi-scale computational model of the effects of TMS on motor cortex
H Seo, N Schaworonkow, SC Jun, J Triesch
F1000Research 5, 2016
Increasing session-to-session transfer in a brain–computer interface with on-site background noise acquisition
H Cho, M Ahn, K Kim, SC Jun
Journal of neural engineering 12 (6), 066009, 2015
Feasibility of approaches combining sensor and source features in brain–computer interface
M Ahn, JH Hong, SC Jun
Journal of neuroscience methods 204 (1), 168-178, 2012
Negotiation-based flexible SLA establishment with SLA-driven resource allocation in cloud computing
S Son, SC Jun
2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid …, 2013
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