Convolutional Neural Network with a Topographic Representation Module for EEG-Based Brain—Computer Interfaces

Convolutional Neural Network with a Topographic Representation Module for EEG-Based Brain—Computer Interfaces

Convolutional neural networks (CNNs) have shown great potential in the field of brain–computer interfaces (BCIs) due to their ability to directly process raw electroencephalogram (EEG) signals without artificial feature extraction. Some CNNs have achieved better classification accuracy than that of...

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Bibliographic Details
Main Authors: Xinbin Liang, Yaru Liu, Yang Yu, Kaixuan Liu, Yadong Liu, Zongtan Zhou
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Brain Sciences
Subjects:
convolutional neural network (CNN)
electroencephalogram (EEG)
topographic representation
brain–computer interface (BCI)
EEG decoding
deep learning
Online Access:https://www.mdpi.com/2076-3425/13/2/268

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https://www.mdpi.com/2076-3425/13/2/268

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