LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interfaces and interpretability

LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interfaces and interpretability

Electroencephalography (EEG)-based brain-computer interfaces (BCIs) pose a challenge for decoding due to their low spatial resolution and signal-to-noise ratio. Typically, EEG-based recognition of activities and states involves the use of prior neuroscience knowledge to generate quantitative EEG fea...

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Bibliographic Details
Main Authors: Zhengqing Miao, Meirong Zhao, Xin Zhang, Dong Ming
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:NeuroImage
Subjects:
Attention
Brain-computer interface (BCI)
Electroencephalography (EEG)
Model interpretability
Neural networks
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811923003609

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http://www.sciencedirect.com/science/article/pii/S1053811923003609

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