Predicting Perceptual Decision-Making Errors Using EEG and Machine Learning

Predicting Perceptual Decision-Making Errors Using EEG and Machine Learning

We trained an artificial neural network (ANN) to distinguish between correct and erroneous responses in the perceptual decision-making task using 32 EEG channels. The ANN input took the form of a 2D matrix where the vertical dimension reflected the number of EEG channels and the horizontal one—to th...

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Bibliographic Details
Main Authors: Alisa Batmanova, Alexander Kuc, Vladimir Maksimenko, Andrey Savosenkov, Nikita Grigorev, Susanna Gordleeva, Victor Kazantsev, Sergey Korchagin, Alexander E. Hramov
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Mathematics
Subjects:
perceptual decision-making
ambiguous stimuli
electroencephalograms
perceptual error
machine learning (ML)
Online Access:https://www.mdpi.com/2227-7390/10/17/3153

Internet

https://www.mdpi.com/2227-7390/10/17/3153

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