Convolutional Neural Network and Adversarial Autoencoder in EEG images classification

• URL: http://arxiv.org/abs/2604.04313v1
• Date: Sun, 05 Apr 2026 23:15:33 GMT
• Title: Convolutional Neural Network and Adversarial Autoencoder in EEG images classification
• Abstract summary: We consider applying computer vision algorithms for the classification problem one faces in neuroscience during EEG data analysis.<n>Our approach is to apply a combination of computer vision and neural network methods to solve human brain activity classification problems during hand movement.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In this paper, we consider applying computer vision algorithms for the classification problem one faces in neuroscience during EEG data analysis. Our approach is to apply a combination of computer vision and neural network methods to solve human brain activity classification problems during hand movement. We pre-processed raw EEG signals and generated 2D EEG topograms. Later, we developed supervised and semi-supervised neural networks to classify different motor cortex activities.

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