Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications

Deep Learning in EEG-Based BCIs: A Comprehensive Review of Transformer Models, Advantages, Challenges, and Applications

Brain-computer interfaces (BCIs) have undergone significant advancements in recent years. The integration of deep learning techniques, specifically transformers, has shown promising development in research and application domains. Transformers, which were originally designed for natural language pro...

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Bibliografiska uppgifter
Huvudupphovsmän: Berdakh Abibullaev, Aigerim Keutayeva, Amin Zollanvari
Materialtyp: Artikel
Språk:English
Publicerad: IEEE 2023-01-01
Serie:IEEE Access
Ämnen:
Deep learning
brain–computer interfaces
review
transformer architecture
EEG
emotion recognition
Länkar:https://ieeexplore.ieee.org/document/10305163/

Internet

https://ieeexplore.ieee.org/document/10305163/

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