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Natural image reconstruction from brain waves: a novel visual BCI system with native feedback

By Grigory Rashkov, Anatoly Bobe, Dmitry Fastovets, Maria Komarova

Posted 01 Oct 2019
bioRxiv DOI: 10.1101/787101

Here we hypothesize that observing the visual stimuli of different categories trigger distinct brain states that can be decoded from noninvasive EEG recordings. We introduce an effective closed-loop BCI system that reconstructs the observed or imagined stimuli images from the co-occurring brain wave parameters. The reconstructed images are presented to the subject as a visual feedback. The developed system is applicable to training BCI-naive subjects because of the user-friendly and intuitive way the visual patterns are employed to modify the brain states.

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