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Sung C Jun

Showing results (1-10 of 11) with videos related to

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Frontiers in Human Neuroscience|February 18, 2021
Corrigendum: Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces - Current Limitations and Future DirectionsSangtae Ahn, Sung C Jun
Frontiers in Human Neuroscience|November 3, 2017
Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces - Current Limitations and Future DirectionsSangtae Ahn, Sung C Jun
Frontiers in Human Neuroscience|November 11, 2017
Multi-Scale Computational Models for Electrical Brain StimulationHyeon Seo, Sung C Jun
Frontiers in Human Neuroscience|March 3, 2018
User's Self-Prediction of Performance in Motor Imagery Brain-Computer InterfaceMinkyu Ahn, Hohyun Cho, Sangtae Ahn, et al.
Physics in Medicine and Biology|October 19, 2006
Spatiotemporal noise covariance estimation from limited empirical magnetoencephalographic dataSung C Jun, Sergey M Plis, Doug M Ranken, et al.
Frontiers in Human Neuroscience|June 1, 2016
Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS DataSangtae Ahn, Thien Nguyen, Hyojung Jang, et al.
Physics in Medicine and Biology|May 6, 2006
Improving source detection and separation in a spatiotemporal Bayesian inference dipole analysisSung C Jun, John S George, Sergey M Plis, et al.
Physics in Medicine and Biology|September 1, 2007
Probabilistic forward model for electroencephalography source analysisSergey M Plis, John S George, Sung C Jun, et al.
Neuroimage|March 4, 2008
Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMCSung C Jun, John S George, Woohan Kim, et al.
Frontiers in Human Neuroscience|December 25, 2013
Gamma band activity associated with BCI performance: simultaneous MEG/EEG studyMinkyu Ahn, Sangtae Ahn, Jun H Hong, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Frontiers in Human Neuroscience|February 18, 2021
Corrigendum: Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces - Current Limitations and Future DirectionsSangtae Ahn, Sung C Jun
Frontiers in Human Neuroscience|November 3, 2017
Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces - Current Limitations and Future DirectionsSangtae Ahn, Sung C Jun
Frontiers in Human Neuroscience|November 11, 2017
Multi-Scale Computational Models for Electrical Brain StimulationHyeon Seo, Sung C Jun
Frontiers in Human Neuroscience|March 3, 2018
User's Self-Prediction of Performance in Motor Imagery Brain-Computer InterfaceMinkyu Ahn, Hohyun Cho, Sangtae Ahn, et al.
Physics in Medicine and Biology|October 19, 2006
Spatiotemporal noise covariance estimation from limited empirical magnetoencephalographic dataSung C Jun, Sergey M Plis, Doug M Ranken, et al.
Frontiers in Human Neuroscience|June 1, 2016
Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS DataSangtae Ahn, Thien Nguyen, Hyojung Jang, et al.
Physics in Medicine and Biology|May 6, 2006
Improving source detection and separation in a spatiotemporal Bayesian inference dipole analysisSung C Jun, John S George, Sergey M Plis, et al.
Physics in Medicine and Biology|September 1, 2007
Probabilistic forward model for electroencephalography source analysisSergey M Plis, John S George, Sung C Jun, et al.
Neuroimage|March 4, 2008
Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMCSung C Jun, John S George, Woohan Kim, et al.
Frontiers in Human Neuroscience|December 25, 2013
Gamma band activity associated with BCI performance: simultaneous MEG/EEG studyMinkyu Ahn, Sangtae Ahn, Jun H Hong, et al.
Pageof 2