Capturing human categorization of natural images by combining deep networks and cognitive models

Theories of human categorization have traditionally been evaluated in the context of simple, low-dimensional stimuli. In this work, the authors use a large dataset of human behavior over 10,000 natural images to re-evaluate these theories, revealing interesting differences from previous results.

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Main Authors:	Ruairidh M. Battleday, Joshua C. Peterson, Thomas L. Griffiths
Format:	article
Language:	EN
Published:	Nature Portfolio 2020
Subjects:	Science Q
Online Access:	https://doaj.org/article/ffa2f7836f054d09ae4e8a005ae4f56a
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id	oai:doaj.org-article:ffa2f7836f054d09ae4e8a005ae4f56a
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spelling	oai:doaj.org-article:ffa2f7836f054d09ae4e8a005ae4f56a2021-12-02T15:39:26ZCapturing human categorization of natural images by combining deep networks and cognitive models10.1038/s41467-020-18946-z2041-1723https://doaj.org/article/ffa2f7836f054d09ae4e8a005ae4f56a2020-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18946-zhttps://doaj.org/toc/2041-1723Theories of human categorization have traditionally been evaluated in the context of simple, low-dimensional stimuli. In this work, the authors use a large dataset of human behavior over 10,000 natural images to re-evaluate these theories, revealing interesting differences from previous results.Ruairidh M. BattledayJoshua C. PetersonThomas L. GriffithsNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Ruairidh M. Battleday Joshua C. Peterson Thomas L. Griffiths Capturing human categorization of natural images by combining deep networks and cognitive models
description	Theories of human categorization have traditionally been evaluated in the context of simple, low-dimensional stimuli. In this work, the authors use a large dataset of human behavior over 10,000 natural images to re-evaluate these theories, revealing interesting differences from previous results.
format	article
author	Ruairidh M. Battleday Joshua C. Peterson Thomas L. Griffiths
author_facet	Ruairidh M. Battleday Joshua C. Peterson Thomas L. Griffiths
author_sort	Ruairidh M. Battleday
title	Capturing human categorization of natural images by combining deep networks and cognitive models
title_short	Capturing human categorization of natural images by combining deep networks and cognitive models
title_full	Capturing human categorization of natural images by combining deep networks and cognitive models
title_fullStr	Capturing human categorization of natural images by combining deep networks and cognitive models
title_full_unstemmed	Capturing human categorization of natural images by combining deep networks and cognitive models
title_sort	capturing human categorization of natural images by combining deep networks and cognitive models
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/ffa2f7836f054d09ae4e8a005ae4f56a
work_keys_str_mv	AT ruairidhmbattleday capturinghumancategorizationofnaturalimagesbycombiningdeepnetworksandcognitivemodels AT joshuacpeterson capturinghumancategorizationofnaturalimagesbycombiningdeepnetworksandcognitivemodels AT thomaslgriffiths capturinghumancategorizationofnaturalimagesbycombiningdeepnetworksandcognitivemodels
_version_	1718385969864900608

Capturing human categorization of natural images by combining deep networks and cognitive models

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