Combining Statistical Analysis and Machine Learning for EEG Scalp Topograms Classification

Combining Statistical Analysis and Machine Learning for EEG Scalp Topograms Classification

Incorporating brain-computer interfaces (BCIs) into daily life requires reducing the reliance of decoding algorithms on the calibration or enabling calibration with the minimal burden on the user. A potential solution could be a pre-trained decoder demonstrating a reasonable accuracy on the naive op...

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Bibliographic Details
Main Authors: Alexander Kuc, Sergey Korchagin, Vladimir A. Maksimenko, Natalia Shusharina, Alexander E. Hramov
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Systems Neuroscience
Subjects:
EEG topograms
convolutional neural network
CNN
ambiguous stimuli
pre-trained decoder
Online Access:https://www.frontiersin.org/articles/10.3389/fnsys.2021.716897/full

Internet

https://www.frontiersin.org/articles/10.3389/fnsys.2021.716897/full

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