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Too much information is no information: how machine learning and feature selection could help in understanding the motor control of pointing
The aim of this study was to develop the use of Machine Learning techniques as a means of multivariate analysis in studies of motor control. These studies generate a huge amount of data, the analysis of which continues to be largely univariate. We propose the use of machine learning classification a...
Autores principales: | Thomas, Elizabeth, Ali, Ferid Ben, Tolambiya, Arvind, Chambellant, Florian, Gaveau, Jérémie |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399757/ https://www.ncbi.nlm.nih.gov/pubmed/37546547 http://dx.doi.org/10.3389/fdata.2023.921355 |
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