GITGAN: Generative inter-subject transfer for EEG motor imagery analysis (VOL 146, 110015, 2024)

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The authors regret to inform that the funding information in the acknowledgement section of the published article is incorrect and the correct funding information is provided below: This work was partly supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00432, Development of Non-Invasive Integrated BCI SW Platform to Control Home Appliances and External Devices by User's Thought via AR/VR Interface; No. 2019-0-00079, Artificial Intelligence Graduate School Program, Korea University; No. 2021-0-02068, Artificial Intelligence Innovation Hub). The authors would like to apologize for any inconvenience caused. © 2023 Elsevier Ltd

제목
GITGAN: Generative inter-subject transfer for EEG motor imagery analysis (VOL 146, 110015, 2024)
저자
Yin, Kang; Lim, Elissa Yanting; Lee, Seong-Whan
DOI
10.1016/j.patcog.2023.110217
발행일
2024-04
유형
Correction; Early Access
저널명
Pattern Recognition
권
148