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

Motor 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 neural signa...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Frontiers in human neuroscience Ročník 17; s. 1075666
Hlavní autoři:	Moly, Alexandre, Aksenov, Alexandre, Martel, Félix, Aksenova, Tetiana
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland Frontiers Research Foundation 06.03.2023 Frontiers Media S.A
Témata:	Algorithms Brain-Computer Interface Computational neuroscience Decomposition ECoG Electrodes Exoskeleton Feature selection group-wise sparsity Human Neuroscience Interfaces Motor task performance NPLS penalization Regularization methods Sparsity tensor factorization incremental learning ECoG penalization Brain-Computer Interface group-wise sparsity tensor factorization NPLS adaptive learning
ISSN:	1662-5161, 1662-5161
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!