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

Machine learning classifiers for electrode selection in the design of closed-loop neuromodulation devices for episodic memory improvement

Cerebral Cortex(2023)10.1093/cercor/bhad105Source: DataRank Database

Machine learning classifiers for electrode selection in the design of closed-loop neuromodulation devices for episodic memory improvement is a research paper published in Cerebral Cortex (2023). On theSindex it has a DataRank of 0. It has been cited 11 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access11 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 (5 grants)Impact (FWCI 1.45)OA: greenTopics (42)IDs (PubMed, 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)

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 (6)

Nicole Ng ORCID,Sarah Seger ORCID,Arne D. Ekstrom ORCID,Jennifer Kriegel,Bradley Lega ORCID

Live enrichment

PubMed:36997155 OpenAlex:https://openalex.org/W4361842492

National Institutes of Health

Grant: R01NS125250

National Institutes of Health

Grant: 1R01NS107357

National Institutes of Health

Grant: 1U01NS113198

NINDS NIH HHS

Grant: R01 NS107357

NINDS NIH HHS

Grant: U01 NS113198

FWCI

1.45

Citation Percentile

0.8%

Citation Trend

2024

2025

2026

greenLicense: https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10321120/pdf/bhad105.pdf

publisherhttps://academic.oup.com/cercor/article-pdf/33/13/8150/50662088/bhad105.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10321120

journalhttps://doi.org/10.1093/cercor/bhad105

Fields of Study

EEG and Brain-Computer InterfacesNeuroscience and Neural EngineeringFunctional Brain Connectivity StudiesHumansBrainBrain-Computer InterfacesCluster AnalysisElectrodesElectroencephalographyMemory, EpisodicMental RecallRandom ForestSupport Vector MachineUnsupervised Machine Learning

MeSH Terms

Unsupervised Machine LearningRandom ForestBrainElectrodesElectroencephalographyHumansMental RecallCluster AnalysisSupport Vector MachineMemory, EpisodicBrain-Computer Interfaces

Keywords

Computer scienceNeuromodulationSupport vector machineArtificial intelligenceRandom forestRecallMachine learningSet (abstract data type)Encoding (memory)Associative propertyPattern recognition (psychology)NeurosciencePsychologyCognitive psychologyStimulationbrain–computer interfaceepisodic memory

Sustainable Development Goals

SDG 0: Life in Land