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Adaptive modeling and inference of higher-order coordination in neuronal assemblies: a dynamic greedy estimation approach

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.16.562647Source: DataRank Database

Adaptive modeling and inference of higher-order coordination in neuronal assemblies: a dynamic greedy estimation approach is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (29)IDs (PubMed, OpenAlex)

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Authors (2)

Behtash Babadi ORCID,Shoutik Mukherjee ORCID

Live enrichment

PubMed:37905104 OpenAlex:https://openalex.org/W4387730965

National Institutes of Health

Grant: 5U19NS107464-04

Readout and control of spatiotemporal neuronal codes for behavior

National Science Foundation

Grant: 2032649

Robust Network-level Inference from Neuronal Data Underlying Behavior

National Science Foundation

Grant: 1552946

CAREER: Deciphering Brain Function Through Dynamic Sparse Signal Processing

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/10/17/2023.10.16.562647.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.10.16.562647

repositoryhttps://doi.org/10.1101/2023.10.16.562647

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37905104

Fields of Study

Neural dynamics and brain functionFunctional Brain Connectivity StudiesNeuroscience and Neuropharmacology Research01 natural sciences0101 mathematics

Keywords

InferencePairwise comparisonComputer scienceStatistical inferencePoint processPopulationArtificial intelligenceRepresentation (politics)Machine learningStatistical modelMathematicsNeuronsModels, NeurologicalAction PotentialsComputational BiologyBrainArticleRatsHumansAnimalsComputer SimulationNerve NetAlgorithmsResearch Article