Use of artificial intelligence for study of the visual perception

Anastasiya Runnova; Vladimir Maksimenko; Maksim Zhuravlev

doi:10.1117/12.2527705

3 June 2019 Use of artificial intelligence for study of the visual perception

Anastasiya Runnova, Vladimir Maksimenko, Maksim Zhuravlev

Proceedings Volume 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions; 1106704 (2019) https://doi.org/10.1117/12.2527705
Event: International Symposium on Optics and Biophotonics VI: Saratov Fall Meeting 2018, 2018, Saratov, Russian Federation

Abstract

In this report we propose an approach based on artificial neural networks for the classification and recognition of various states of the human brain associated with the spatial perception of ambiguous images. Based on the developed numerical methodology and analysis of the experimental multi-channel EEG data, we create and optimize an artificial neural network to ensure the accuracy of the classification of EEG states of the brain in visual perception close to 100%. Different interpretations of ambiguous images produce different oscillatory patterns in the EEG of a person with similar characteristics for each interpretation.

Citation Download Citation

Anastasiya Runnova, Vladimir Maksimenko, and Maksim Zhuravlev "Use of artificial intelligence for study of the visual perception", Proc. SPIE 11067, Saratov Fall Meeting 2018: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 1106704 (3 June 2019); https://doi.org/10.1117/12.2527705

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