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The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks

Neuron(2023)10.1016/j.neuron.2022.12.007Source: DataRank Database

The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks is a research paper published in Neuron (2023). On theSindex it has a DataRank of 0. It has been cited 63 times.

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Open Access63 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (10 grants)Impact (FWCI 8.23)OA: greenTopics (36)IDs (PubMed, PMC, OpenAlex)Annotations (5)

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)

David Sussillo ORCID,L. F. Abbott ORCID,Mark M. Churchland ORCID,Brian DePasquale ORCID

Live enrichment

PubMed:36630961 PMC:PMC10118067 OpenAlex:https://openalex.org/W4315477380

National Science Foundation

Grant: DBI-1707398

National Institutes of Health

Grant: MH093338

NINDS NIH HHS

Grant: U19 NS104649

NIMH NIH HHS

Grant: R01 MH093338

Sanford J Grossman Charitable Trust

National Institutes of Health

Simons Foundation

Gatsby Charitable Foundation

McKnight Foundation

National Science Foundation

FWCI

8.23

Citation Percentile

1.0%

Citation Trend

2023

2024

2025

2026

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10118067/pdf/nihms-1864785.pdf

publisherhttps://api.elsevier.com/content/article/PII:S0896627322010807?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0896627322010807?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10118067

Fields of Study

Neural dynamics and brain functionAdvanced Memory and Neural ComputingNeural Networks and Reservoir ComputingNeural Networks, ComputerAction PotentialsNeuronsNerve NetModels, Neurological

MeSH Terms

Action PotentialsModels, NeurologicalNerve NetNeuronsNeural Networks, Computer

Keywords

CentralityTraining (meteorology)ComputationPopulationComputer scienceNeuroscienceArtificial intelligencePsychologyMedicineGeographyMathematicsAlgorithmStatisticsPopulation dynamicsArtificial neural networksDynamical SystemsMotor SystemDimensionality ReductionSpiking NetworksRecurrent Neural NetworksFactor ModelsForce LearningNetwork Training

The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks

FAIR Checklist

Authors (4)

Funding (10 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)