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Inferring control objectives in a virtual balancing task in humans and monkeys

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.02.539055Source: DataRank Database

Inferring control objectives in a virtual balancing task in humans and monkeys is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)OA: greenTopics (38)IDs (PubMed, OpenAlex)

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Authors (7)

Reza Sharif Razavian ORCID,Salah Bazzi ORCID,Raeed H. Chowdhury ORCID,Aaron P. Batista ORCID,Patrick J. Loughlin ORCID

Live enrichment

PubMed:37205497 OpenAlex:https://openalex.org/W4367672778

National Science Foundation

Grant: 1825942

Collaborative Research: Learning to Control Dynamically Complex Objects

National Institutes of Health

Grant: 5R01NS120579-02

CRCNS Research Proposal: Collaborative Research: Neural Basis of Motor Expertise

National Institutes of Health

Grant: 5R37HD087089-09

Predictability in complex object control

NINDS NIH HHS

Grant: R01 NS120579

NICHD NIH HHS

Grant: R37 HD087089

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/05/02/2023.05.02.539055.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.05.02.539055

repositoryhttps://doi.org/10.1101/2023.05.02.539055

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37205497

Fields of Study

Motor Control and AdaptationAction Observation and SynchronizationChild and Animal Learning Development05 social sciences0501 psychology and cognitive sciences

Keywords

Control (management)Task (project management)Computer scienceArtificial intelligenceGenerative grammarAnimal behaviorRedundancy (engineering)PsychologyBiologyEngineeringMaleAdultBehavior, AnimalQH301-705.5Sciencevsuomotor controlQRfeedback-driven behaviorMacaca mulattaArticleYoung Adultoptimal feedback controlMedicineAnimalsHumansFemalemotor control strategiesBiology (General)human monkey comparisonPostural BalancePsychomotor PerformanceNeuroscience