Rxivist logo

Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 73,918 bioRxiv papers from 321,741 authors.

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.

Download data

  • Downloaded 12,036 times
  • Download rankings, all-time:
    • Site-wide: 99 out of 73,960
    • In neuroscience: 13 out of 13,294
  • Year to date:
    • Site-wide: 116 out of 73,960
  • Since beginning of last month:
    • Site-wide: 116 out of 73,960

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

Sign up for the Rxivist weekly newsletter! (Click here for more details.)


News