Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance

INTRODUCTION: In brain-computer interfaces (BCI) research, recording data is time-consuming and expensive, which limits access to big datasets. This may influence the BCI system performance as machine learning methods depend strongly on the training dataset size. Important questions arise: taking in...

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Detalles Bibliográficos
Autores principales: Śliwowski, Maciej, Martin, Matthieu, Souloumiac, Antoine, Blanchart, Pierre, Aksenova, Tetiana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Human Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061076/
https://www.ncbi.nlm.nih.gov/pubmed/37007675
http://dx.doi.org/10.3389/fnhum.2023.1111645

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061076/
https://www.ncbi.nlm.nih.gov/pubmed/37007675
http://dx.doi.org/10.3389/fnhum.2023.1111645

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