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Journal of Neuroscience Methods|February 11, 2015
Performance variation in motor imagery brain-computer interface: a brief reviewMinkyu Ahn, Sung Chan JunBiomedical Engineering Letters|October 28, 2024
Evaluation of consumer-grade wireless EEG systems for brain-computer interface applicationsSeungchan Lee, Misung Kim, Minkyu AhnPlos 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 AhnAnnual 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 JunJournal of Neuroscience Methods|November 24, 2011
Feasibility of approaches combining sensor and source features in brain-computer interfaceMinkyu Ahn, Jun Hee Hong, Sung Chan JunPlos 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.Journal of Neural Engineering|October 9, 2015
Increasing session-to-session transfer in a brain-computer interface with on-site background noise acquisitionHohyun Cho, Minkyu Ahn, Kiwoong Kim, et al.Sensors (Basel, Switzerland)|August 28, 2021
Selective Subject Pooling Strategy to Improve Model Generalization for a Motor Imagery BCIKyungho Won, Moonyoung Kwon, Minkyu Ahn, et al.Scientific Data|July 8, 2022
EEG Dataset for RSVP and P300 Speller Brain-Computer InterfacesKyungho Won, Moonyoung Kwon, Minkyu Ahn, et al.Sensors (Basel, Switzerland)|August 14, 2014
A review of brain-computer interface games and an opinion survey from researchers, developers and usersMinkyu Ahn, Mijin Lee, Jinyoung Choi, et al.Pageof 4