Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off

Electroencephalography (EEG) datasets are often small and high dimensional, owing to cumbersome recording processes. In these conditions, powerful machine learning techniques are essential to deal with the large amount of information and overcome the curse of dimensionality. Artificial Neural Networ...

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Dettagli Bibliografici
Pubblicato in:PLoS One
Autori principali: León, Javier, Escobar, Juan José, Ortiz, Andrés, Ortega, Julio, González, Jesús, Martín-Smith, Pedro, Gan, John Q., Damas, Miguel
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2020
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Research Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7289369/
https://ncbi.nlm.nih.gov/pubmed/32525885
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0234178
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