Explainable Machine Learning Methods for Classification of Brain States during Visual Perception

Explainable Machine Learning Methods for Classification of Brain States during Visual Perception

The aim of this work is to find a good mathematical model for the classification of brain states during visual perception with a focus on the interpretability of the results. To achieve it, we use the deep learning models with different activation functions and optimization methods for their compari...

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Bibliographic Details
Main Authors: Robiul Islam, Andrey V. Andreev, Natalia N. Shusharina, Alexander E. Hramov
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Mathematics
Subjects:
deep learning
brain state
EEG
interpretable models
visual perception
Online Access:https://www.mdpi.com/2227-7390/10/15/2819

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https://www.mdpi.com/2227-7390/10/15/2819

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