{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Sigaki HYD"],"funding":["Slovenian Research Agency","Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","MCTI | Conselho Nacional de Desenvolvimento Científico e Tecnológico"],"pagination":["E8585-E8594"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6140488"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["115(37)"],"pubmed_abstract":["Art is the ultimate expression of human creativity that is deeply influenced by the philosophy and culture of the corresponding historical epoch. The quantitative analysis of art is therefore essential for better understanding human cultural evolution. Here, we present a large-scale quantitative analysis of almost 140,000 paintings, spanning nearly a millennium of art history. Based on the local spatial patterns in the images of these paintings, we estimate the permutation entropy and the statistical complexity of each painting. These measures map the degree of visual order of artworks into a scale of order-disorder and simplicity-complexity that locally reflects qualitative categories proposed by art historians. The dynamical behavior of these measures reveals a clear temporal evolution o"],"journal":["Proceedings of the National Academy of Sciences of the United States of America"],"pubmed_title":["History of art paintings through the lens of entropy and complexity."],"pmcid":["PMC6140488"],"funding_grant_id":["N/A","303642/2014-9","J1-7009","P5-0027","440650/2014-3"],"pubmed_authors":["Ribeiro HV","Sigaki HYD","Perc M"],"additional_accession":[]},"is_claimable":false,"name":"History of art paintings through the lens of entropy and complexity.","description":"Art is the ultimate expression of human creativity that is deeply influenced by the philosophy and culture of the corresponding historical epoch. The quantitative analysis of art is therefore essential for better understanding human cultural evolution. Here, we present a large-scale quantitative analysis of almost 140,000 paintings, spanning nearly a millennium of art history. Based on the local spatial patterns in the images of these paintings, we estimate the permutation entropy and the statistical complexity of each painting. These measures map the degree of visual order of artworks into a scale of order-disorder and simplicity-complexity that locally reflects qualitative categories proposed by art historians. The dynamical behavior of these measures reveals a clear temporal evolution o","dates":{"release":"2018-01-01T00:00:00Z","publication":"2018 Sep","modification":"2025-04-04T09:26:30.898Z","creation":"2019-08-04T07:25:55Z"},"accession":"S-EPMC6140488","cross_references":{"pubmed":["30150384"],"doi":["10.1073/pnas.1800083115"]}}