Classifying the Perceptual Interpretations of a Bistable Image Using EEG and Artificial Neural Networks

Classifying the Perceptual Interpretations of a Bistable Image Using EEG and Artificial Neural Networks

In order to classify different human brain states related to visual perception of ambiguous images, we use an artificial neural network (ANN) to analyze multichannel EEG. The classifier built on the basis of a multilayer perceptron achieves up to 95% accuracy in classifying EEG patterns correspondin...

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Bibliographic Details
Main Authors: Alexander E. Hramov, Vladimir A. Maksimenko, Svetlana V. Pchelintseva, Anastasiya E. Runnova, Vadim V. Grubov, Vyacheslav Yu. Musatov, Maksim O. Zhuravlev, Alexey A. Koronovskii, Alexander N. Pisarchik
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-12-01
Series:Frontiers in Neuroscience
Subjects:
brain
ambiguous image
multistability
EEG
artificial neuronal network
brain states recognition
Online Access:http://journal.frontiersin.org/article/10.3389/fnins.2017.00674/full

Internet

http://journal.frontiersin.org/article/10.3389/fnins.2017.00674/full

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