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

Rashkov, G. V.; Bobe, A. S.; Fastovets, D. V.; Komarova, M. V.

2019-10-01 neuroscience
10.1101/787101 bioRxiv
Show 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-naive subjects because of the user-friendly and intuitive way the visual patterns are employed to modify the brain states.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.