World’s fastest brain-computer interface: Combining EEG2Code with deep learning

Open Access

Peer-reviewed

Research Article

About the Authors

Sebastian Nagel

Roles Conceptualization, Formal analysis, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Engineering, Wilhelm-Schickard-Institute for Computer Science, University of Tübingen, Tübingen, Germany

Martin Spüler

Roles Conceptualization, Supervision, Writing – review & editing

Affiliation Department of Computer Engineering, Wilhelm-Schickard-Institute for Computer Science, University of Tübingen, Tübingen, Germany

The authors have declared that no competing interests exist.

Electroencephalography
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Man-computer interface
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Deep learning
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Visual-evoked potentials
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Communications
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Neural networks
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Untranslated regions
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Vision
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