Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Minkyu Ahn

Showing results (1-10 of 41) with videos related to

Pageof 5
Sort By:
Neuroimage|July 19, 2021
Alpha and high gamma phase amplitude coupling during motor imagery and weighted cross-frequency coupling to extract discriminative cross-frequency patternsDaeun Gwon, Minkyu Ahn
Sensors (Basel, Switzerland)|March 30, 2023
Quantification of Movement Error from Spiral Drawing TestHyunjin Yoon, Minkyu Ahn
Neuroimage|November 4, 2024
Motor task-to-task transfer learning for motor imagery brain-computer interfacesDaeun Gwon, Minkyu Ahn
Journal of Neuroscience Methods|February 11, 2015
Performance variation in motor imagery brain-computer interface: a brief reviewMinkyu Ahn, Sung Chan Jun
Biomedical Engineering Letters|October 28, 2024
Evaluation of consumer-grade wireless EEG systems for brain-computer interface applicationsSeungchan Lee, Misung Kim, Minkyu Ahn
Plos One|April 23, 2026
Neural network architectures and normalization techniques for automated sleep stage classification using rodent EEG and EMG signalsJinyoung Choi, Hankil Oh, Minkyu Ahn
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
A Brain Switch for SSVEP-Based BCI Speller Using an RNN-Based Detection ApproachHeegyu Kim, Minkyu Ahn, Sun Chan Jun
Journal of Neuroscience Methods|November 24, 2011
Feasibility of approaches combining sensor and source features in brain-computer interfaceMinkyu Ahn, Jun Hee Hong, Sung Chan Jun
Journal of Neural Engineering|April 24, 2024
Signal alignment for cross-datasets in P300 brain-computer interfacesMinseok Song, Daeun Gwon, Sung Chan Jun, et al.
Plos One|November 27, 2013
High theta and low alpha powers may be indicative of BCI-illiteracy in motor imageryMinkyu Ahn, Hohyun Cho, Sangtae Ahn, et al.
Pageof 5

Showing results (1-10 of 41) with videos related to

Sort By:
Pageof 5
Neuroimage|July 19, 2021
Alpha and high gamma phase amplitude coupling during motor imagery and weighted cross-frequency coupling to extract discriminative cross-frequency patternsDaeun Gwon, Minkyu Ahn
Sensors (Basel, Switzerland)|March 30, 2023
Quantification of Movement Error from Spiral Drawing TestHyunjin Yoon, Minkyu Ahn
Neuroimage|November 4, 2024
Motor task-to-task transfer learning for motor imagery brain-computer interfacesDaeun Gwon, Minkyu Ahn
Journal of Neuroscience Methods|February 11, 2015
Performance variation in motor imagery brain-computer interface: a brief reviewMinkyu Ahn, Sung Chan Jun
Biomedical Engineering Letters|October 28, 2024
Evaluation of consumer-grade wireless EEG systems for brain-computer interface applicationsSeungchan Lee, Misung Kim, Minkyu Ahn
Plos One|April 23, 2026
Neural network architectures and normalization techniques for automated sleep stage classification using rodent EEG and EMG signalsJinyoung Choi, Hankil Oh, Minkyu Ahn
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
A Brain Switch for SSVEP-Based BCI Speller Using an RNN-Based Detection ApproachHeegyu Kim, Minkyu Ahn, Sun Chan Jun
Journal of Neuroscience Methods|November 24, 2011
Feasibility of approaches combining sensor and source features in brain-computer interfaceMinkyu Ahn, Jun Hee Hong, Sung Chan Jun
Journal of Neural Engineering|April 24, 2024
Signal alignment for cross-datasets in P300 brain-computer interfacesMinseok Song, Daeun Gwon, Sung Chan Jun, et al.
Plos One|November 27, 2013
High theta and low alpha powers may be indicative of BCI-illiteracy in motor imageryMinkyu Ahn, Hohyun Cho, Sangtae Ahn, et al.
Pageof 5