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Modeling functional cell types in spike train data

PLoS Computational Biology(2023)10.1371/journal.pcbi.1011509Source: DataRank Database

Modeling functional cell types in spike train data is a research paper published in PLoS Computational Biology (2023). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

Scored on demand from live citation data

Open Access1 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 0.13)OA: goldTopics (42)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)

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Authors (4)

Eric Shea-Brown ORCID,Daniela Witten ORCID,Michael A. Buice ORCID,Daniel N. Zdeblick ORCID

Live enrichment

PubMed:37824442 PMC:PMC10569560 OpenAlex:https://openalex.org/W4387569604

National Institutes of Health

Grant: R01DA047869

National Institutes of Health

Grant: R01EB026908

National Institutes of Health

Grant: 5R01EB026908-02

Models and Methods for Calcium Imaging Data with Application to the Allen Brain Observatory

National Institutes of Health

Grant: 1R01DA047869-01

CRCNS: Theory and Experiments to Elucidate Neural Coding in the Reward Circuit

Simons Foundation

FWCI

0.13

Citation Percentile

0.4%

Citation Trend

2023

goldLicense: cc-by

journalhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011509&type=printable

publisherhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011509&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1011509

journalhttps://doi.org/10.1371/journal.pcbi.1011509

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37824442

Fields of Study

Neural dynamics and brain functionNeuroinflammation and Neurodegeneration MechanismsNeuroscience and Neuropharmacology Research

MeSH Terms

Action PotentialsAlgorithmsAnimalsComputer SimulationModels, NeurologicalNeuronsProbabilityMice

Keywords

Computer scienceInferenceGenerative modelArtificial intelligenceArtificial neural networkSpike (software development)Ground truthMachine learningMaximizationCell typeBiological neural networkVisual cortexComputational neurosciencePattern recognition (psychology)Generative grammarNeuroscienceCellMathematicsBiologyNeuronsMiceQH301-705.5Models, NeurologicalAnimalsAction PotentialsComputer SimulationBiology (General)ArticleAlgorithmsResearch ArticleProbability