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A Generalizable and Discriminative Learning Method for Deep EEG-Based Motor Imagery Classification
Convolutional neural networks (CNNs) have been widely applied to the motor imagery (MI) classification field, significantly improving the state-of-the-art (SoA) performance in terms of classification accuracy. Although innovative model structures are thoroughly explored, little attention was drawn t...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570040/ https://www.ncbi.nlm.nih.gov/pubmed/34744622 http://dx.doi.org/10.3389/fnins.2021.760979 |