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Quantifying network behavior in the rat prefrontal cortex: a reproducibility crisis

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.16.541018Source: DataRank Database

Quantifying network behavior in the rat prefrontal cortex: a reproducibility crisis is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: greenTopics (16)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (5)

Jian Wang ORCID,Richard B. Mailman ORCID,Yang Yang ORCID,Nikolay V. Dokholyan ORCID,Congzhou M. Sha ORCID

Live enrichment

PubMed:37292872 OpenAlex:https://openalex.org/W4377024862

National Institutes of Health

Grant: 5R01AT012053-02

AI-based Mapping of Complex Cannabis Extracts in Pain Pathways

National Science Foundation

Grant: 2210963

FET:Medium: Drug discovery using quantum machine learning

National Institutes of Health

Grant: 1RF1AG071675-01

Discovery of functionally selective dopamine ligands for age-related cognitive decline

National Institutes of Health

Grant: 5R35GM134864-03

Nanoscale programing of cellular and physiological phenotypes

greenLicense: cc-by-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/05/17/2023.05.16.541018.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.05.16.541018

repositoryhttp://dx.doi.org/10.1101/2023.05.16.541018

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37292872

Fields of Study

Neural dynamics and brain functionEEG and Brain-Computer InterfacesNeuroscience and Music Perception05 social sciences0501 psychology and cognitive sciences

Keywords

Prefrontal cortexComputer scienceNeuroscienceDynamic time warpingArtificial neural networkWorking memoryArtificial intelligencePsychologyMachine learningCognitionArticle

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions