Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Unraveling the complexity of rat object vision requires a full convolutional network and beyond

Patterns(2025)10.1016/j.patter.2024.101149Source: DataRank Database

Unraveling the complexity of rat object vision requires a full convolutional network and beyond is a research paper published in Patterns (2025). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

Download PDF

Cite:

Linked data & code

doi

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 0.00)OA: goldTopics (19)IDs (PubMed, PMC, OpenAlex)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (3)

Alireza Alemi ORCID,Davide Zoccolan ORCID,Paolo Muratore ORCID

Live enrichment

PubMed:40041851 PMC:PMC11873012 OpenAlex:https://openalex.org/W4406564278

Ministero dell'Istruzione dell'Università e della Ricerca

Grant: unidentified

unidentified

National Institutes of Health

Grant: 5R01NS104926-02

Circuit mechanisms underlying learned changes in persistent neural activity

FWCI

0.00

Citation Percentile

0.0%

goldLicense: cc-by

journalhttps://doi.org/10.1016/j.patter.2024.101149

publisherhttps://doi.org/10.1016/j.patter.2024.101149

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40041851

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11873012

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11873012/pdf/main.pdf

Fields of Study

Neural dynamics and brain functionCell Image Analysis TechniquesFace Recognition and Perception05 social sciences0501 psychology and cognitive sciences

Keywords

Computer scienceConvolutional neural networkObject (grammar)Artificial intelligenceComputer visionrodentsVisual PerceptionObject RecognitionInvarianceConvolutional Neural NetworksPerceptual StrategyArtificial Vs. Biological Visionartificial vs. biological vision; convolutional neural networks; invariance; object recognition; perceptual strategy; rodents; visual perceptionArticle

Unraveling the complexity of rat object vision requires a full convolutional network and beyond

FAIR Checklist

Authors (3)

Funding (2 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)