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Special Issue on Deep Learning for Electroencephalography (EEG) Data Analysis.
- Source :
- Applied Sciences (2076-3417); Oct2023, Vol. 13 Issue 20, p11475, 2p
- Publication Year :
- 2023
-
Abstract
- Acknowledgments Special thanks goes out to the authors and peer reviewers and the editorial board whose invaluable contributions have shaped this Special Issue on Deep Learning in Electroencephalography (EEG) Data Analysis. Brain-computer interfaces (BCI) have emerged as a groundbreaking and transformative technology enabling communication between humans and computers through neural systems, primarily electroencephalography (EEG). Efforts to optimize EEG preprocessing techniques and neural network architectures can make brain-computer interfaces (BCIs) more user-friendly and accessible. [Extracted from the article]
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 13
- Issue :
- 20
- Database :
- Complementary Index
- Journal :
- Applied Sciences (2076-3417)
- Publication Type :
- Academic Journal
- Accession number :
- 173266746
- Full Text :
- https://doi.org/10.3390/app132011475