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

An emerging view of neural geometry in motor cortex supports high-performance decoding

eLife(2023)10.7554/elife.89421Source: DataRank Database

An emerging view of neural geometry in motor cortex supports high-performance decoding is a research paper published in eLife (2023). On theSindex it has a DataRank of 0. It has been cited 8 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access8 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 (9 grants)OA: goldTopics (39)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 (5)

Elom A. Amematsro ORCID,John P. Cunningham ORCID,Qi Wang ORCID,Mark M. Churchland ORCID,Sean M. Perkins ORCID

Live enrichment

PubMed:39898793 PMC:PMC11790250 OpenAlex:https://openalex.org/W4387514244

National Institutes of Health

Grant: 1R01NS135240

Simons Foundation

Grant: SCGB

National Science Foundation

Grant: Graduate Fellowship

NINDS NIH HHS

Grant: R01 NS135240

NINDS NIH HHS

Grant: T32 NS064929

NIMH NIH HHS

Grant: T32 MH126036

NINDS NIH HHS

Grant: DP2 NS083037

National Institutes of Health

Grant: 1R01NS135240-01A1

Determining the Sources of Motor-Cortex Response Complexity

Grossman Center for the Statistics of Mind

goldLicense: cc-by

journalhttps://github.com/elifesciences/enhanced-preprints-data/raw/master/data/89421/v1/89421-v1.pdf

publisherhttps://github.com/elifesciences/enhanced-preprints-data/raw/master/data/89421/v1/89421-v1.pdf

publisherhttps://cdn.elifesciences.org/articles/89421/elife-89421-v1.pdf

publisherhttps://cdn.elifesciences.org/articles/89421/elife-89421-v1.xml

publisherhttps://elifesciences.org/articles/89421

Fields of Study

EEG and Brain-Computer InterfacesNeural dynamics and brain functionNeuroscience and Neural Engineering02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

MeSH Terms

Machine LearningAnimalsHumansMotor CortexNeuronsBrain-Computer Interfaces

Keywords

Simple (philosophy)Decoding methodsManifold (fluid mechanics)Neural decodingComputer scienceArtificial neural networkArtificial intelligenceAlgorithmEngineeringPhilosophyNeuroscienceRhesus macaqueState estimationBrain-computer interfaceMotor controlDecodingPopulation ActivityNeuronsQH301-705.5ScienceQRMotor CortexMachine LearningBrain-Computer InterfacesMedicineHumansBiology (General)