Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces

Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces

IntroductionAs deep learning has achieved state-of-the-art performance for many tasks of EEG-based BCI, many efforts have been made in recent years trying to understand what have been learned by the models. This is commonly done by generating a heatmap indicating to which extent each pixel of the in...

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Bibliographic Details
Main Authors: Jian Cui, Liqiang Yuan, Zhaoxiang Wang, Ruilin Li, Tianzi Jiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Computational Neuroscience
Subjects:
brain-computer interface (BCI)
convolutional neural network
deep learning interpretability
electroencephalography (EEG)
layer-wise relevance propagation (LRP)
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2023.1232925/full

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