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

Adaptive modeling and inference of higher-order coordination in neuronal assemblies: A dynamic greedy estimation approach

PLoS Computational Biology(2024)10.1371/journal.pcbi.1011605Source: DataRank Database

Adaptive modeling and inference of higher-order coordination in neuronal assemblies: A dynamic greedy estimation approach is a research paper published in PLoS Computational Biology (2024). On theSindex it has a DataRank of 0. It has been cited 1 time.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

Download PDF

Cite:

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 (7 grants)Impact (FWCI 0.24)OA: goldTopics (40)IDs (PubMed, PMC, 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)

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 (2)

Behtash Babadi ORCID,Shoutik Mukherjee ORCID

Live enrichment

PubMed:38805569 PMC:PMC11161120 OpenAlex:https://openalex.org/W4399073161

National Science Foundation

Grant: CCF1552946

National Science Foundation

Grant: ECCS2032649

National Institutes of Health

Grant: 1U19NS107464

NINDS NIH HHS

Grant: U19 NS107464

National Institutes of Health

Grant: 5U19NS107464-04

Readout and control of spatiotemporal neuronal codes for behavior

National Science Foundation

Grant: 2032649

Robust Network-level Inference from Neuronal Data Underlying Behavior

National Science Foundation

Grant: 1552946

CAREER: Deciphering Brain Function Through Dynamic Sparse Signal Processing

FWCI

0.24

Citation Percentile

0.5%

Citation Trend

2025

goldLicense: cc-by

journalhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011605&type=printable

publisherhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011605&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1011605

journalhttps://doi.org/10.1371/journal.pcbi.1011605

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38805569

Fields of Study

Neural dynamics and brain functionstochastic dynamics and bifurcationNeuroscience and Neuropharmacology Research01 natural sciences0101 mathematics

MeSH Terms

Action PotentialsAlgorithmsAnimalsBrainComputer SimulationHumansModels, NeurologicalNerve NetNeuronsComputational BiologyRats

Keywords

InferencePairwise comparisonComputer sciencePoint processStatistical inferenceArtificial intelligencePopulationRepresentation (politics)Machine learningStatistical modelMathematicsNeuronsModels, NeurologicalAction PotentialsComputational BiologyBrainArticleRatsHumansAnimalsComputer SimulationNerve NetAlgorithmsResearch Article