Prof. Sung Chan Jun
Title
Cited by
Cited by
Year
Performance variation in motor imagery brain–computer interface: a brief review
M Ahn, SC Jun
Journal of neuroscience methods 243, 103-110, 2015
1682015
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
1232014
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
1162013
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 (2), 606-637, 2013
772013
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
752016
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
712005
Utilization of a combined EEG/NIRS system to predict driver drowsiness
T Nguyen, S Ahn, H Jang, SC Jun, JG Kim
Scientific reports 7, 43933, 2017
582017
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
572009
EEG datasets for motor imagery brain–computer interface
H Cho, M Ahn, S Ahn, M Kwon, SC Jun
GigaScience 6 (7), gix034, 2017
542017
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
512013
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
502014
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
422012
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
412015
Steady-state somatosensory evoked potential for brain-computer interface—present and future
S Ahn, K Kim, SC Jun
Frontiers in human neuroscience 9, 716, 2016
382016
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
382012
Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMC
SC Jun, JS George, W Kim, J Paré-Blagoev, S Plis, DM Ranken, ...
NeuroImage 40 (4), 1581-1594, 2008
342008
Validation of weighted frequency-difference EIT using a three-dimensional hemisphere model and phantom
S Ahn, TI Oh, SC Jun, JK Seo, EJ Woo
Physiological measurement 32 (10), 1663, 2011
302011
A multi-scale computational model of the effects of TMS on motor cortex
H Seo, N Schaworonkow, SC Jun, J Triesch
F1000Research 5, 2016
282016
Simple adaptive sparse representation based classification schemes for EEG based brain–computer interface applications
Y Shin, S Lee, M Ahn, H Cho, SC Jun, HN Lee
Computers in biology and medicine 66, 29-38, 2015
282015
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
272017
The system can't perform the operation now. Try again later.
Articles 1–20