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

Parallel trade-offs in human cognition and neural networks: The dynamic interplay between in-context and in-weight learning

Proceedings of the National Academy of Sciences(2025)10.1073/pnas.2510270122Source: DataRank Database

Parallel trade-offs in human cognition and neural networks: The dynamic interplay between in-context and in-weight learning is a research paper published in Proceedings of the National Academy of Sciences (2025). On theSindex it has a DataRank of 0. It has been cited 10 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access10 citations

Download PDF

Cite:

Linked data & code

The dynamic interplay between in-context and in-weight learning in humans and neural networks · arXiv

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 (3 grants)OA: hybridTopics (43)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)

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)

Ellie Pavlick ORCID,Michael J. Frank ORCID,Jacob Russin ORCID

Live enrichment

PubMed:40875812 PMC:PMC12415290 OpenAlex:https://openalex.org/W4391832482

HHS | National Institutes of Health

Grant: 5P20GM103645-10

Center for Central Nervous System Function

DOD | USN | Office of Naval Research

Grant: N00014-23-1-2792

DOD | ARPA | Defense Sciences Office, DARPA

Grant: D24AP00261

hybridLicense: cc-by

repositoryhttps://arxiv.org/pdf/2402.08674

publisherhttps://doi.org/10.1073/pnas.2510270122

publisherhttps://pnas.org/doi/pdf/10.1073/pnas.2510270122

repositoryhttp://arxiv.org/abs/2402.08674

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38410645

Fields of Study

Topic ModelingDomain Adaptation and Few-Shot LearningMultimodal Machine Learning Applications05 social sciences0501 psychology and cognitive sciencesHumansCognitionLearningNeural Networks, ComputerNerve NetMemory, Short-Term

MeSH Terms

Nerve NetHumansCognitionLearningMemory, Short-TermNeural Networks, Computer

Keywords

InterleavingArtificial neural networkComputer scienceTransformerArtificial intelligenceContext (archaeology)Task (project management)Machine learningCurriculumCognitive scienceCognitive psychologyPsychologyEngineeringBiologyNeural networksCompositionalityCognitive FlexibilityIn-context LearningCurriculum EffectsCognitionMemory, Short-TermHumansLearningNeural Networks, ComputerBiological SciencesNerve Net

Sustainable Development Goals

SDG 0: Quality Education

The dynamic interplay between in-context and in-weight learning in humans and neural networks

10.48550/arxiv.2402.08674arXiv