Occipital sleep spindles predict sequence learning in a visuo-motor task.

ABSTRACT: The brain appears to use internal models to successfully interact with its environment via active predictions of future events. Both internal models and the predictions derived from them are based on previous experience. However, it remains unclear how previously encoded information is maintained to support this function, especially in the visual domain. In the present study, we hypothesized that sleep consolidates newly encoded spatio-temporal regularities to improve predictions afterwards. We tested this hypothesis using a novel sequence-learning paradigm that aimed to dissociate perceptual from motor learning. We recorded behavioral performance and high-density electroencephalography (EEG) in male human participants during initial training and during testing two days later, following an

SUBMITTER: Lutz ND 

PROVIDER: S-EPMC8361350 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature