Mechanisms of offline motor learning at a microscale of seconds in large-scale crowdsourced data.

Consolidation Human behaviour

Journal

NPJ science of learning
ISSN: 2056-7936
Titre abrégé: NPJ Sci Learn
Pays: England
ID NLM: 101689142

Informations de publication

Date de publication:
2020
Historique:
received: 01 10 2019
accepted: 17 04 2020
entrez: 19 6 2020
pubmed: 19 6 2020
medline: 19 6 2020
Statut: epublish

Résumé

Performance improvements during early human motor skill learning are suggested to be driven by short periods of rest during practice, at the scale of seconds. To reveal the unknown mechanisms behind these "micro-offline" gains, we leveraged the sampling power offered by online crowdsourcing (cumulative

Identifiants

pubmed: 32550003
doi: 10.1038/s41539-020-0066-9
pii: 66
pmc: PMC7272649
doi:

Types de publication

Journal Article

Langues

eng

Pagination

7

Informations de copyright

© The Author(s) 2020.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare no competing interests.

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Auteurs

Marlene Bönstrup (M)

Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD 20814 USA.

Iñaki Iturrate (I)

Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD 20814 USA.

Martin N Hebart (MN)

Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD 20814 USA.

Nitzan Censor (N)

School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, 69978 Tel Aviv, Israel.

Leonardo G Cohen (LG)

Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD 20814 USA.

Classifications MeSH