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Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
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An artificial intelligence that increases simulated brain-computer interface performance.

Sebastian Olsen1, Jianwei Zhang1, Ken-Fu Liang1

  • 1Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90024, United States of America.

Journal of Neural Engineering
|May 12, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an artificial intelligence-brain-computer interface (AI-BCI) that enhances typing for individuals with motor disabilities. The AI-BCI improves communication rates and movement efficiency, increasing the clinical viability of BCI systems.

Failed At:

2026-06-19T13:39:01.427324+00:00

Keywords:
artificial intelligencebrain-machine interfacebrain–computer interfacedecodermotor cortexshared control

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