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Hong Gi Yeom

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

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Frontiers in Neuroscience|December 27, 2021
F-Value Time-Frequency Analysis: Between-Within Variance AnalysisHong Gi Yeom, Hyundoo Jeong
Genes|November 27, 2021
Accurate Single-Cell Clustering through Ensemble Similarity LearningHyundoo Jeong, Sungtae Shin, Hong-Gi Yeom
Plos One|July 31, 2014
High-accuracy brain-machine interfaces using feedback informationHong Gi Yeom, June Sic Kim, Chun Kee Chung
Computational Intelligence and Neuroscience|August 16, 2016
Macroscopic Neural Oscillation during Skilled Reaching Movements in HumansHong Gi Yeom, June Sic Kim, Chun Kee Chung
Journal of Neural Engineering|February 23, 2013
Estimation of the velocity and trajectory of three-dimensional reaching movements from non-invasive magnetoencephalography signalsHong Gi Yeom, June Sic Kim, Chun Kee Chung
Scientific Data|August 22, 2023
A magnetoencephalography dataset during three-dimensional reaching movements for brain-computer interfacesHong Gi Yeom, June Sic Kim, Chun Kee Chung
Scientific Reports|January 19, 2020
Brain mechanisms in motor control during reaching movements: Transition of functional connectivity according to movement statesHong Gi Yeom, June Sic Kim, Chun Kee Chung
Scientific Reports|June 17, 2026
A novel transformer architecture for EEG decoding and neuroscientific analysisHong Gi Yeom, Woo Sung Choi, Kyung-Min An
Frontiers in Human Neuroscience|June 6, 2022
Editorial: Deep Learning in Brain-Computer InterfaceMinkyu Ahn, Sung Chan Jun, Hong Gi Yeom, et al.
Biomed Research International|July 23, 2014
A study on decoding models for the reconstruction of hand trajectories from the human magnetoencephalographyHong Gi Yeom, Wonjun Hong, Da-Yoon Kang, et al.
Pageof 2

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

Sort By:
Pageof 2
Frontiers in Neuroscience|December 27, 2021
F-Value Time-Frequency Analysis: Between-Within Variance AnalysisHong Gi Yeom, Hyundoo Jeong
Genes|November 27, 2021
Accurate Single-Cell Clustering through Ensemble Similarity LearningHyundoo Jeong, Sungtae Shin, Hong-Gi Yeom
Plos One|July 31, 2014
High-accuracy brain-machine interfaces using feedback informationHong Gi Yeom, June Sic Kim, Chun Kee Chung
Computational Intelligence and Neuroscience|August 16, 2016
Macroscopic Neural Oscillation during Skilled Reaching Movements in HumansHong Gi Yeom, June Sic Kim, Chun Kee Chung
Journal of Neural Engineering|February 23, 2013
Estimation of the velocity and trajectory of three-dimensional reaching movements from non-invasive magnetoencephalography signalsHong Gi Yeom, June Sic Kim, Chun Kee Chung
Scientific Data|August 22, 2023
A magnetoencephalography dataset during three-dimensional reaching movements for brain-computer interfacesHong Gi Yeom, June Sic Kim, Chun Kee Chung
Scientific Reports|January 19, 2020
Brain mechanisms in motor control during reaching movements: Transition of functional connectivity according to movement statesHong Gi Yeom, June Sic Kim, Chun Kee Chung
Scientific Reports|June 17, 2026
A novel transformer architecture for EEG decoding and neuroscientific analysisHong Gi Yeom, Woo Sung Choi, Kyung-Min An
Frontiers in Human Neuroscience|June 6, 2022
Editorial: Deep Learning in Brain-Computer InterfaceMinkyu Ahn, Sung Chan Jun, Hong Gi Yeom, et al.
Biomed Research International|July 23, 2014
A study on decoding models for the reconstruction of hand trajectories from the human magnetoencephalographyHong Gi Yeom, Wonjun Hong, Da-Yoon Kang, et al.
Pageof 2