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Towards a more general understanding of the algorithmic utility of recurrent connections

PLoS Computational Biology(2022)10.1371/journal.pcbi.1010227Source: DataRank Database

Towards a more general understanding of the algorithmic utility of recurrent connections is a research paper published in PLoS Computational Biology (2022). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 0.15)OA: goldTopics (27)IDs (PubMed, PMC, OpenAlex)SDGs (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)

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Authors (2)

Shaul Druckmann ORCID,Brett W. Larsen ORCID

Live enrichment

PubMed:35727818 PMC:PMC9258846 OpenAlex:https://openalex.org/W4283274712

U.S. Department of Energy

Grant: DE-FG02-97ER25308

National Institutes of Health

Grant: R01EB028171

Simons Global Collaboration on the Brain

Grant: 542969SPI

NEI NIH HHS

Grant: P30 EY026877

National Institutes of Health

Grant: 1R01EB028171-01

Dissecting distributed representations by advanced population activity analysis methods and modeling

FWCI

0.15

Citation Percentile

0.4%

Citation Trend

2023

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.1371/journal.pcbi.1010227

publisherhttps://doi.org/10.1371/journal.pcbi.1010227

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1010227

repositoryhttps://pubmed.ncbi.nlm.nih.gov/35727818

repositoryhttps://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010227

Fields of Study

Advanced Memory and Neural ComputingNeural dynamics and brain functionNeural Networks and Reservoir Computing0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

Models, Neurological

Keywords

Social connectednessComputer scienceFeed forwardComputationContext (archaeology)Recurrent neural networkTheoretical computer scienceSet (abstract data type)Feedforward neural networkArtificial intelligenceTask (project management)PopulationMachine learningComputational modelArtificial neural networkAlgorithmQH301-705.5Models, NeurologicalBiology (General)Research Article

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions