Dual attentive fusion for EEG-based brain-computer interfaces

The classification based on Electroencephalogram (EEG) is a challenging task in the brain-computer interface (BCI) field due to data with a low signal-to-noise ratio. Most current deep learning based studies in this challenge focus on designing a desired convolutional neural network (CNN) to learn a...

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Detalles Bibliográficos
Autores principales: Du, Yuanhua, Huang, Jian, Huang, Xiuyu, Shi, Kaibo, Zhou, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727253/
https://www.ncbi.nlm.nih.gov/pubmed/36507325
http://dx.doi.org/10.3389/fnins.2022.1044631

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