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

Grigory Rashkov, Anatoly Bobe, Dmitry Fastovets, Maria Komarova
doi: https://doi.org/10.1101/787101
Grigory Rashkov
1Neurobotics LLC, Moscow, Russian Federation
2Neuroassistive Technologies LLC, Moscow, Russian Federation
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Anatoly Bobe
1Neurobotics LLC, Moscow, Russian Federation
2Neuroassistive Technologies LLC, Moscow, Russian Federation
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  • For correspondence: a.bobe@neurobotics.ru
Dmitry Fastovets
3Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russian Federation
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Maria Komarova
3Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russian Federation
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Abstract

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-naïve subjects because of the user-friendly and intuitive way the visual patterns are employed to modify the brain states.

Footnotes

  • Corrected the short name of Extreme sport category in 2.3 (S=>E)

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted October 16, 2019.
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Natural image reconstruction from brain waves: a novel visual BCI system with native feedback
Grigory Rashkov, Anatoly Bobe, Dmitry Fastovets, Maria Komarova
bioRxiv 787101; doi: https://doi.org/10.1101/787101
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Natural image reconstruction from brain waves: a novel visual BCI system with native feedback
Grigory Rashkov, Anatoly Bobe, Dmitry Fastovets, Maria Komarova
bioRxiv 787101; doi: https://doi.org/10.1101/787101

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