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ABOUT
MEMBERS
Professor
Ph.D. Students
M.S.Students
Interns
Alumni
Research
Brain Signal Processing
Brain Modeling
Brain Stimulation
Publication
Journal papers
Conference
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Etc
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논문명(출판명)
저자
출처
Validation of Numerical Stimulation for Subdural Cortical Stimulation : Using Spherical Phantoms and Anatomically Realistic Head Phantom
Author
Jeong, J., Kim, D., Joeng, S., Chung, E., Kim, S
Year
2014
Source
Biostec-Bioinformatics
Valence detection for image stimulated EEG data
Author
Kwon, M., Ahn, M., Hong, J.H., Park, S., Park, T., Jun, S.C.,
Year
2013
Source
6th annual international IEEE EMBS conference on neural engineering (NER 2013), pp. 109-112
Comparison of neuronal excitation between extruded slab partial head model and full head model in subdural cortical stimulation
Author
Seo, H., Kim, D., Jun, S.C.
Year
2013
Source
IEEE EMBC 2013, pp. 241-244.
Negotiation-based flexible SLA establishment with SLA-driven resource allocation in Cloud computing
Author
Son, S., Jun, S.C.
Year
2013
Source
13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2013, art. no. 6546077, pp. 168-171.
A comparative study of the 3D precentral gyrus model for unipolar and bipolar current stimulations
Author
Seo, H., Kim, D., Jun, S.C.
Year
2012
Source
IEEE EMBC 2012, pp. 1892-1895.
The computational study of subdural cortical stimulation: A quantitative analysis of voltage and current stimulation
Author
Kim, D., Seo, H., Kim, H.-I., Jun, S.C.
Year
2012
Source
IEEE EMBC 2012, pp. 867-870.
Feasibility of hybrid BCI using ERD- and SSSEP- BCI
Author
Ahn, S., Jun, S.C.
Year
2012
Source
International Conference on Control, Automation and Systems, art. no. 6393191, pp. 2053-2056.
Computational study of subdural and epidural cortical stimulation of the motor cortex
Author
Kim, D., Jun, S.C., Kim, H.-I.
Year
2011
Source
IEEE EMBC 2011, pp. 7226-7229.
MEG/EEG spatiotemporal noise covariance estimation in the least-squares sense
Author
Ahn, M., Jun, S.C.
Year
2011
Source
APSIPA ASC 2011, pp. 406-411.
Motor imagery based BCI classification via sparse representation of EEG signals
Author
Shin, Y., Lee, S., Ahn, M., Jun, S.C., Lee, H.-N.
Year
2011
Source
NFSI 2011 and ICBEM 2011, art. no. 5936827, pp. 93-97.
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