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An invariant schema emerges within a neural network during hierarchical learning of visual boundaries

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.01.30.635821Source: DataRank Database

An invariant schema emerges within a neural network during hierarchical learning of visual boundaries is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2025). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: greenTopics (13)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Jie Zheng ORCID,Lydia B. Shimelis,Ueli Rutishauser ORCID,Milo M. Lin ORCID,James T. Elder ORCID

Live enrichment

PubMed:39975149 OpenAlex:https://openalex.org/W4407140763

NINDS NIH HHS

Grant: R00 NS126233

NIGMS NIH HHS

Grant: R01 GM125748

NIGMS NIH HHS

Grant: R35 GM150897

NIGMS NIH HHS

Grant: T32 GM131963

greenLicense: cc-by-nc

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2025/02/04/2025.01.30.635821.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2025.01.30.635821

repositoryhttps://doi.org/10.1101/2025.01.30.635821

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39975149

Fields of Study

Domain Adaptation and Few-Shot LearningNeural dynamics and brain functionNeural Networks and Applications

Keywords

Computer scienceForgettingBackpropagationArtificial neural networkArtificial intelligenceSchema (genetic algorithms)Pattern recognition (psychology)Machine learningPsychologyCognitive psychology