Convolutional neural networks decode finger movements in motor sequence learning from MEG data

ObjectiveNon-invasive Brain–Computer Interfaces provide accurate classification of hand movement lateralization. However, distinguishing activation patterns of individual fingers within the same hand remains challenging due to their overlapping representations in the motor cortex. Here, we validated...

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Bibliographic Details

Published in:	Frontiers in Neuroscience
Main Authors:	Aleksey Zabolotniy, Russell Weili Chan, Victoria Moiseeva, Tommaso Fedele
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-09-01
Subjects:	finger movement decoding MEG convolutional neural networks serial reaction time task motor learning
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2025.1623380/full