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BioComputing Lab

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Effect of Anatomically Realistic Full-Head Model on Activation of Cortical Neurons in Subdural Cortical Stimulation-A Computational Study
  • AuthorSeo, H., Kim, D., Jun, S. C.
  • Year2016
  • SourceScientific Reports

Exploring neuro-physiological correlates of drivers’ mental fatigue caused by sleep deprivation using simultaneous EEG, ECG, and fNIRS data
  • AuthorAhn, S., Nguyen, T., Jang, H., Kim, J. G., Jun, S. C.
  • Year2016
  • SourceFrontiers in Human Neuroscience

Steady-State Somatosensory Evoked Potential for Brain-Computer Interface–Present and Future
  • AuthorAhn, S., Kim, K., Jun, S. C.
  • Year2016
  • SourceFrontiers in Human Neuroscience

A multi-scale computational model of the effects of TMS on motor cortex
  • AuthorSeo, H., Schaworonkow, N., Jun, S.C., Triesch, J.
  • Year2016
  • SourceF1000Research, 5:1945

Validation of Computational Studies for Electrical Brain Stimulation With Phantom Head Experiments
  • AuthorKim, D., Jeong, J., Jeong, S., Kim, S., Jun, S. C., Chung. E.
  • Year2015
  • SourceBrain Stimulation

Increasing session-to-session transfer in a brain-computer interface with on-site background noise acquisition
  • AuthorCho, H., Ahn, M., Kim, K., Jun, S. C.
  • Year2015
  • SourceJournal of Neural Engineering

Longitudinal change in resting-state brain activity in a capsular infract mode
  • AuthorKim, D., Kim, R. G., Kim, H-S., Kim, J-M., Jun, S. C., Lee, B., Jo, H. J., Rosa-Neto, P., Lee, M-C., Kim, H-I.
  • Year2015
  • SourceJournal of Cerebral Blood Flow and Metabolism

Computational Study of Subdural Cortical Stimulation: Effects of Simulating Anisotropic Conductivity on Activation of Cortical Neurons
  • AuthorSeo, H., Kim, D., Jun, S. C.
  • Year2015
  • SourcePloS One

Performance Variation in Motor Imagery Brain-Computer Interface: A Brief Review
  • AuthorAhn, M., Jun, S. C.
  • Year2015
  • SourceJournal of Neuroscience Methods

Achieving a hybrid brain-computer interface with tactile selective attention and motor imagery
  • AuthorAhn, S., Ahn, M., Cho, H., Jun, S. C.
  • Year2014
  • SourceJournal of Neural Engineering
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