Predicting how surface texture and shape combine in the human visual system to direct attention

Abstract Objects differ from one another along a multitude of visual features. The more distinct an object is from other objects in its surroundings, the easier it is to find it. However, it is still unknown how this distinctiveness advantage emerges in human vision. Here, we studied how visual dist...

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Autores principales:	Zoe Jing Xu, Alejandro Lleras, Simona Buetti
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c19efeb09a4f43faab9943ef3251955b
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spelling	oai:doaj.org-article:c19efeb09a4f43faab9943ef3251955b2021-12-02T16:31:07ZPredicting how surface texture and shape combine in the human visual system to direct attention10.1038/s41598-021-85605-82045-2322https://doaj.org/article/c19efeb09a4f43faab9943ef3251955b2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85605-8https://doaj.org/toc/2045-2322Abstract Objects differ from one another along a multitude of visual features. The more distinct an object is from other objects in its surroundings, the easier it is to find it. However, it is still unknown how this distinctiveness advantage emerges in human vision. Here, we studied how visual distinctiveness signals along two feature dimensions—shape and surface texture—combine to determine the overall distinctiveness of an object in the scene. Distinctiveness scores between a target object and distractors were measured separately for shape and texture using a search task. These scores were then used to predict search times when a target differed from distractors along both shape and texture. Model comparison showed that the overall object distinctiveness was best predicted when shape and texture combined using a Euclidian metric, confirming the brain is computing independent distinctiveness scores for shape and texture and combining them to direct attention.Zoe Jing XuAlejandro LlerasSimona BuettiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zoe Jing Xu Alejandro Lleras Simona Buetti Predicting how surface texture and shape combine in the human visual system to direct attention
description	Abstract Objects differ from one another along a multitude of visual features. The more distinct an object is from other objects in its surroundings, the easier it is to find it. However, it is still unknown how this distinctiveness advantage emerges in human vision. Here, we studied how visual distinctiveness signals along two feature dimensions—shape and surface texture—combine to determine the overall distinctiveness of an object in the scene. Distinctiveness scores between a target object and distractors were measured separately for shape and texture using a search task. These scores were then used to predict search times when a target differed from distractors along both shape and texture. Model comparison showed that the overall object distinctiveness was best predicted when shape and texture combined using a Euclidian metric, confirming the brain is computing independent distinctiveness scores for shape and texture and combining them to direct attention.
format	article
author	Zoe Jing Xu Alejandro Lleras Simona Buetti
author_facet	Zoe Jing Xu Alejandro Lleras Simona Buetti
author_sort	Zoe Jing Xu
title	Predicting how surface texture and shape combine in the human visual system to direct attention
title_short	Predicting how surface texture and shape combine in the human visual system to direct attention
title_full	Predicting how surface texture and shape combine in the human visual system to direct attention
title_fullStr	Predicting how surface texture and shape combine in the human visual system to direct attention
title_full_unstemmed	Predicting how surface texture and shape combine in the human visual system to direct attention
title_sort	predicting how surface texture and shape combine in the human visual system to direct attention
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/c19efeb09a4f43faab9943ef3251955b
work_keys_str_mv	AT zoejingxu predictinghowsurfacetextureandshapecombineinthehumanvisualsystemtodirectattention AT alejandrolleras predictinghowsurfacetextureandshapecombineinthehumanvisualsystemtodirectattention AT simonabuetti predictinghowsurfacetextureandshapecombineinthehumanvisualsystemtodirectattention
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Predicting how surface texture and shape combine in the human visual system to direct attention

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