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BioComputing Lab

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User’s self-prediction of performance in motor imagery brain-computer interface
  • AuthorAhn, M., Cho, H., Ahn, S., Jun, S. C.
  • Year2018
  • SourceFrontiers in Human Neuroscience

Multi-scale computational models for electrical brain stimulation
  • AuthorSeo, H., Jun, S. C.
  • Year2017
  • SourceFrontiers in Human Neuroscience

Multi-modal integration of EEG-fNIRS for brain-computer interfaces – Current limitations and future directions
  • AuthorAhn, S., Jun, S. C.
  • Year2017
  • SourceFrontiers in Human Neuroscience

EEG datasets for motor imagery brain-computer interface
  • AuthorCho, H., Ahn, M., Ahn, S., Kwon, M., Jun, S. C.
  • Year2017
  • SourceGigaScience

A wellness platform for stereoscopic 3D video systems using EEG-based visual discomfort evaluation technology
  • AuthorKang, M.-K., Cho, H., Park, H.-M., Jun, S. C., Yoon, K.-J.
  • Year2017
  • SourceApplied Ergonomics

Cognitive responses and cortical oscillatory processing at various stereoscopic depths – a simultaneous EEG/MEG study
  • AuthorCho, H., Kang, M.-K., Ahn, S., Kwon, M., Yoon, K.-J., Kim, K., Jun, S. C.
  • Year2017
  • SourceJournal of Integrated Neuroscience

Utilization of a combined EEG/NIRS system to predict driver drowsiness
  • AuthorNguyen, T., Ahn, S., Jang, H., Jun, S. C., Kim, J. G.
  • Year2017
  • SourceScientific Reports

The Effect of Transcranial Channel as Skull/Brain Interface in High-Definition Transcranial Direct Current Stimulation—A Computational Study
  • AuthorSeo, H., Kim, H.-I., Jun, S. C.
  • Year2017
  • SourceScientific Reports

A computational study on sensor localization for underwater acoustic sensor network in the east sea environmental mode;
  • AuthorChoi, J., Kim, K., Jun, S. C.
  • Year2016
  • SourceJournal of Marine Science and Technology

Herbal extracts that reduce ocular oxidative stress may enhance attentive performance in humans
  • AuthorCho, H., Jun, S. C.
  • Year2016
  • SourceComputational Intelligence and Neuroscience
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