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Neural evidence for the successor representation in choice evaluation

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.29.458114Source: DataRank Database

Neural evidence for the successor representation in choice evaluation is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0. It has been cited 37 times.

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Open Access37 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (18)IDs (PubMed, OpenAlex)SDGs (1)

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Open Access

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Reusable (0/3)

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Authors (5)

Ida Momennejad ORCID,Matthew Botvinick ORCID,Samuel J. Gershman ORCID,Nathaniel D. Daw ORCID,Evan M. Russek ORCID

Live enrichment

PubMed:23304386 OpenAlex:https://openalex.org/W3196427539

Wellcome Trust

Grant: unidentified

unidentified

National Institutes of Health

Grant: 1R01MH109177-01

CRCNS: Representational foundations of adaptive behavior in natural and artificial

National Institutes of Health

Grant: 5F31MH110111-02

Investigating a Mechanism of Goal-Directed Action

greenLicense: cc-by-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2021/08/31/2021.08.29.458114.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2021.08.29.458114

repositoryhttps://doi.org/10.1101/2021.08.29.458114

https://dx.doi.org/10.1101/2021.08.29.458114

Fields of Study

Neural and Behavioral Psychology StudiesMemory and Neural MechanismsDecision-Making and Behavioral Economics0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Successor cardinalTask (project management)Representation (politics)AbstractionComputer scienceArtificial intelligencePsychologyCognitive psychologyMachine learningAction (physics)Sensory systemMathematics

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions