Good exemplars of natural scene categories elicit clearer patterns than bad exemplars but not greater BOLD activity.

Within the range of images that we might categorize as a "beach", for example, some will be more representative of that category than others. Here we first confirmed that humans could categorize "good" exemplars better than "bad" exemplars of six scene categories and th...

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Autores principales:	Ana Torralbo, Dirk B Walther, Barry Chai, Eamon Caddigan, Li Fei-Fei, Diane M Beck
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/14cfeaedaad54482879e8f7f553e1d36
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spelling	oai:doaj.org-article:14cfeaedaad54482879e8f7f553e1d362021-11-18T07:52:04ZGood exemplars of natural scene categories elicit clearer patterns than bad exemplars but not greater BOLD activity.1932-620310.1371/journal.pone.0058594https://doaj.org/article/14cfeaedaad54482879e8f7f553e1d362013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23555588/?tool=EBIhttps://doaj.org/toc/1932-6203Within the range of images that we might categorize as a "beach", for example, some will be more representative of that category than others. Here we first confirmed that humans could categorize "good" exemplars better than "bad" exemplars of six scene categories and then explored whether brain regions previously implicated in natural scene categorization showed a similar sensitivity to how well an image exemplifies a category. In a behavioral experiment participants were more accurate and faster at categorizing good than bad exemplars of natural scenes. In an fMRI experiment participants passively viewed blocks of good or bad exemplars from the same six categories. A multi-voxel pattern classifier trained to discriminate among category blocks showed higher decoding accuracy for good than bad exemplars in the PPA, RSC and V1. This difference in decoding accuracy cannot be explained by differences in overall BOLD signal, as average BOLD activity was either equivalent or higher for bad than good scenes in these areas. These results provide further evidence that V1, RSC and the PPA not only contain information relevant for natural scene categorization, but their activity patterns mirror the fundamentally graded nature of human categories. Analysis of the image statistics of our good and bad exemplars shows that variability in low-level features and image structure is higher among bad than good exemplars. A simulation of our neuroimaging experiment suggests that such a difference in variance could account for the observed differences in decoding accuracy. These results are consistent with both low-level models of scene categorization and models that build categories around a prototype.Ana TorralboDirk B WaltherBarry ChaiEamon CaddiganLi Fei-FeiDiane M BeckPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 3, p e58594 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ana Torralbo Dirk B Walther Barry Chai Eamon Caddigan Li Fei-Fei Diane M Beck Good exemplars of natural scene categories elicit clearer patterns than bad exemplars but not greater BOLD activity.
description	Within the range of images that we might categorize as a "beach", for example, some will be more representative of that category than others. Here we first confirmed that humans could categorize "good" exemplars better than "bad" exemplars of six scene categories and then explored whether brain regions previously implicated in natural scene categorization showed a similar sensitivity to how well an image exemplifies a category. In a behavioral experiment participants were more accurate and faster at categorizing good than bad exemplars of natural scenes. In an fMRI experiment participants passively viewed blocks of good or bad exemplars from the same six categories. A multi-voxel pattern classifier trained to discriminate among category blocks showed higher decoding accuracy for good than bad exemplars in the PPA, RSC and V1. This difference in decoding accuracy cannot be explained by differences in overall BOLD signal, as average BOLD activity was either equivalent or higher for bad than good scenes in these areas. These results provide further evidence that V1, RSC and the PPA not only contain information relevant for natural scene categorization, but their activity patterns mirror the fundamentally graded nature of human categories. Analysis of the image statistics of our good and bad exemplars shows that variability in low-level features and image structure is higher among bad than good exemplars. A simulation of our neuroimaging experiment suggests that such a difference in variance could account for the observed differences in decoding accuracy. These results are consistent with both low-level models of scene categorization and models that build categories around a prototype.
format	article
author	Ana Torralbo Dirk B Walther Barry Chai Eamon Caddigan Li Fei-Fei Diane M Beck
author_facet	Ana Torralbo Dirk B Walther Barry Chai Eamon Caddigan Li Fei-Fei Diane M Beck
author_sort	Ana Torralbo
title	Good exemplars of natural scene categories elicit clearer patterns than bad exemplars but not greater BOLD activity.
title_short	Good exemplars of natural scene categories elicit clearer patterns than bad exemplars but not greater BOLD activity.
title_full	Good exemplars of natural scene categories elicit clearer patterns than bad exemplars but not greater BOLD activity.
title_fullStr	Good exemplars of natural scene categories elicit clearer patterns than bad exemplars but not greater BOLD activity.
title_full_unstemmed	Good exemplars of natural scene categories elicit clearer patterns than bad exemplars but not greater BOLD activity.
title_sort	good exemplars of natural scene categories elicit clearer patterns than bad exemplars but not greater bold activity.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/14cfeaedaad54482879e8f7f553e1d36
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Good exemplars of natural scene categories elicit clearer patterns than bad exemplars but not greater BOLD activity.

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