Online adaptive group-wise sparse Penalized Recursive Exponentially Weighted N-way Partial Least Square for epidural intracranial BCI

Online adaptive group-wise sparse Penalized Recursive Exponentially Weighted N-way Partial Least Square for epidural intracranial BCI

IntroductionMotor Brain–Computer Interfaces (BCIs) create new communication pathways between the brain and external effectors for patients with severe motor impairments. Control of complex effectors such as robotic arms or exoskeletons is generally based on the real-time decoding of high-resolution...

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Bibliographic Details
Main Authors: Alexandre Moly, Alexandre Aksenov, Félix Martel, Tetiana Aksenova
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Human Neuroscience
Subjects:
Brain-Computer Interface
ECoG
penalization
tensor factorization
NPLS
group-wise sparsity
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2023.1075666/full

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https://www.frontiersin.org/articles/10.3389/fnhum.2023.1075666/full

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