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Feedback-based motor control can guide plasticity and drive rapid learning

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.06.511108Source: DataRank Database

Feedback-based motor control can guide plasticity and drive rapid learning is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0. It has been cited 4 times.

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Open Access4 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)OA: greenTopics (24)IDs (PubMed, OpenAlex)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Matthew G. Perich ORCID,Lee E. Miller ORCID,Claudia Clopath ORCID,Juan Álvaro Gallego ORCID,Barbara Feulner ORCID

Live enrichment

PubMed:23304386 OpenAlex:https://openalex.org/W4303579367

Wellcome Trust

Grant: 200790/Z/16/Z

European Research Council

Grant: 949660

Next-generation Brain-Computer Interfacing to enable intuitive, skilled control

Biotechnology and Biological Sciences Research Council

Grant: BB/N013956/1

Biotechnology and Biological Sciences Research Council

Grant: BB/N019008/1

Wellcome Trust

Grant: 564408

greenLicense: cc-by-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/10/08/2022.10.06.511108.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.10.06.511108

repositoryhttps://doi.org/10.1101/2022.10.06.511108

Europe_PMChttps://europepmc.org/article/PPR/PPR555650

Fields of Study

Motor Control and AdaptationNeural dynamics and brain functionMuscle activation and electromyography studies0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Motor learningNeuroscienceMotor controlComputer scienceAdaptation (eye)Artificial neural networkMotor cortexPrimary motor cortexPopulationBiological neural networkNeuroplasticityFeedback controlMotor systemPsychologyControl engineeringArtificial intelligenceEngineeringMedicine