Sequence action representations contextualize during early skill learning.

ABSTRACT: Activities of daily living rely on our ability to acquire new motor skills composed of precise action sequences. Here, we asked in humans if the millisecond-level neural representation of an action performed at different contextual sequence locations within a skill differentiates or remains stable during early motor learning. We first optimized machine learning decoders predictive of sequence-embedded finger movements from magnetoencephalographic (MEG) activity. Using this approach, we found that the neural representation of the same action performed in different contextual sequence locations progressively differentiated-primarily during rest intervals of early learning (offline)-correlating with skill gains. In contrast, representational differentiation during practice (online) did not re

SUBMITTER: Dash D 

PROVIDER: S-EPMC12431778 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature