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Probing the link between vision and language in material perception using psychophysics and unsupervised learning

PLoS Computational Biology(2024)10.1371/journal.pcbi.1012481Source: DataRank Database

Probing the link between vision and language in material perception using psychophysics and unsupervised learning is a research paper published in PLoS Computational Biology (2024). On theSindex it has a DataRank of 0. It has been cited 9 times.

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Open Access9 citations

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Enrichment:Funding (2 grants)OA: goldTopics (40)IDs (PubMed, PMC)

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Authors (3)

Masataka Sawayama ORCID,Bei Xiao ORCID,Chenxi Liao ORCID

Live enrichment

PubMed:39361707 PMC:PMC11478833

National Eye Institute

Grant: 1R15EY033512-01A1

Learning diagnostic latent representations for human material perception: common mechanisms and individual variability

NEI NIH HHS

Grant: R15 EY033512

goldLicense: cc-by

publisherhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1012481&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1012481

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11478833/pdf/pcbi.1012481.pdf

Unpaywallhttps://doi.org/10.1371/journal.pcbi.1012481

Europe_PMChttps://europepmc.org/articles/PMC11478833

Fields of Study

05 social sciences0501 psychology and cognitive sciencesHumansUnsupervised Machine LearningLanguageVisual PerceptionPsychophysicsComputational BiologySemanticsVision, OcularJudgmentDeep LearningNeural Networks, ComputerCognition

MeSH Terms

HumansLanguageCognitionVisual PerceptionJudgmentPsychophysicsComputational BiologySemanticsVision, OcularUnsupervised Machine LearningDeep LearningNeural Networks, Computer

Keywords

Computational BiologyArticleSemanticsJudgmentDeep LearningCognitionVisual PerceptionPsychophysicsHumansNeural Networks, ComputerVision, OcularResearch ArticleUnsupervised Machine LearningLanguage