Partial maximum correntropy regression for robust electrocorticography decoding

Partial maximum correntropy regression for robust electrocorticography decoding

The Partial Least Square Regression (PLSR) method has shown admirable competence for predicting continuous variables from inter-correlated electrocorticography signals in the brain-computer interface. However, PLSR is essentially formulated with the least square criterion, thus, being considerably p...

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Bibliographic Details
Main Authors: Yuanhao Li, Badong Chen, Gang Wang, Natsue Yoshimura, Yasuharu Koike
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Neuroscience
Subjects:
brain-computer interface
partial least square regression
maximum correntropy
robustness
electrocorticography decoding
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1213035/full

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https://www.frontiersin.org/articles/10.3389/fnins.2023.1213035/full

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