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A cerebellar granule cell-climbing fiber computation to learn to track long time intervals

Neuron(2024)10.1016/j.neuron.2024.05.019Source: DataRank Database

A cerebellar granule cell-climbing fiber computation to learn to track long time intervals is a research paper published in Neuron (2024). On theSindex it has a DataRank of 0. It has been cited 26 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access26 citations

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Linked data & code

Data from: A cerebellar granule cell–climbing fiber computation to learn to track long time intervals · Dryad

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 4.32)OA: hybridTopics (57)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (10)

Akash Kapoor,Oluwatobi Akinwale,Lina Takemaru,Tony Hyun Kim ORCID,Casey Paton ORCID

Live enrichment

PubMed:38870929 PMC:PMC11343686 OpenAlex:https://openalex.org/W4399566743

NINDS NIH HHS

Grant: R01 NS050835

Intramural NIH HHS

Grant: ZIA NS009434

Howard Hughes Medical Institute

FWCI

4.32

Citation Percentile

0.9%

Influential Citations

Citation Trend

2024

2025

2026

hybridLicense: cc-by

journalhttp://www.cell.com/article/S0896627324003660/pdf

HYBRIDhttp://www.cell.com/article/S0896627324003660/pdf

publisherhttp://www.cell.com/article/S0896627324003660/pdf

publisherhttps://api.elsevier.com/content/article/PII:S0896627324003660?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0896627324003660?httpAccept=text/plain

Fields of Study

Vestibular and auditory disordersHearing, Cochlea, Tinnitus, GeneticsNeural dynamics and brain functionMedicineBiologyAnimalsCerebellumMiceRewardPurkinje CellsLearningConditioning, OperantMaleMice, Inbred C57BLNerve FibersNeuronal PlasticityNeuronsTime FactorsAction Potentials

MeSH Terms

Action PotentialsAnimalsCerebellumConditioning, OperantLearningMaleMice, Inbred C57BLNerve FibersNeuronal PlasticityNeuronsPurkinje CellsRewardTime FactorsMice

Keywords

NeuroscienceClimbingCerebellumClimbing fiberGranule cellPurkinje cellCognitionAnticipation (artificial intelligence)Mean squared prediction errorPsychologyComputer scienceArtificial intelligenceBiologyMachine learningCentral nervous systemOperant conditioningAssociative learningReward LearningGranule CellsTwo-photon ImagingClimbing FibersTemporal EncodingTemporal LearningNeural Ramping

Sustainable Development Goals

SDG 0: Zero hunger

Data from: A cerebellar granule cell–climbing fiber computation to learn to track long time intervals

10.5061/dryad.bk3j9kdm6Dryad