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...

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Bibliographic Details
Main Authors: Elizabeth Thomas, Ferid Ben Ali, Arvind Tolambiya, Florian Chambellant, Jérémie Gaveau
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Big Data
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2023.921355/full