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NERV: A comprehensive framework for rapid, reproducible, and hardware-synchronized neuroscience experiment design and execution

Journal of Neuroscience Methods(2025)10.1016/j.jneumeth.2025.110647Source: DataRank Database

NERV: A comprehensive framework for rapid, reproducible, and hardware-synchronized neuroscience experiment design and execution is a research paper published in Journal of Neuroscience Methods (2025). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 0.00)OA: hybridTopics (19)IDs (PubMed, 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 (2)

Christos Constantinidis ORCID,Kyle Coutray

Live enrichment

PubMed:41349647 OpenAlex:https://openalex.org/W4416972384

National Institutes of Health

Grant: R01 EY017077

FWCI

0.00

Citation Percentile

0.2%

hybridLicense: cc-by

journalhttps://doi.org/10.1016/j.jneumeth.2025.110647

publisherhttps://doi.org/10.1016/j.jneumeth.2025.110647

publisherhttps://api.elsevier.com/content/article/PII:S0165027025002912?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0165027025002912?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41349647

Fields of Study

Cell Image Analysis TechniquesNeural dynamics and brain functionFunctional Brain Connectivity Studies

MeSH Terms

HumansNeurosciencesResearch DesignSoftwareReproducibility of Results

Keywords

MillisecondScalabilityNeuroinformaticsComputational neuroscienceSystems neuroscienceExtensibilityNeurophysiologyExperimental designBehavioral NeuroscienceOpen-source FrameworkUnity Engine