Spatially intermixed objects of different categories are parsed automatically

Abstract Our visual system is able to separate spatially intermixed objects into different categorical groups (e.g., berries and leaves) using the shape of feature distribution: Determining whether all objects belong to one or several categories depends on whether the distribution has one or several...

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Autores principales:	Vladislav A. Khvostov, Anton O. Lukashevich, Igor S. Utochkin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a41de43ad9214254903dcf18ac55de62
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spelling	oai:doaj.org-article:a41de43ad9214254903dcf18ac55de622021-12-02T15:23:04ZSpatially intermixed objects of different categories are parsed automatically10.1038/s41598-020-79828-42045-2322https://doaj.org/article/a41de43ad9214254903dcf18ac55de622021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79828-4https://doaj.org/toc/2045-2322Abstract Our visual system is able to separate spatially intermixed objects into different categorical groups (e.g., berries and leaves) using the shape of feature distribution: Determining whether all objects belong to one or several categories depends on whether the distribution has one or several peaks. Despite the apparent ease of rapid categorization, it is a very computationally demanding task, given severely limited “bottlenecks” of attention and working memory capable of processing only a few objects at a time. Here, we tested whether this rapid categorical parsing is automatic or requires attention. We used the visual mismatch negativity (vMMN) ERP component known as a marker of automatic sensory discrimination. 20 volunteers (16 female, mean age—22.7) participated in our study. Loading participants’ attention with a central task, we observed a substantial vMMN response to unattended background changes of categories defined by certain length-orientation conjunctions. Importantly, this occurred in conditions where the distributions of these features had several peaks and, hence, supported categorical separation. These results suggest that spatially intermixed objects are parsed into distinct categories automatically and give new insight into how the visual system can bypass the severe processing restrictions and form rich perceptual experience.Vladislav A. KhvostovAnton O. LukashevichIgor S. UtochkinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Vladislav A. Khvostov Anton O. Lukashevich Igor S. Utochkin Spatially intermixed objects of different categories are parsed automatically
description	Abstract Our visual system is able to separate spatially intermixed objects into different categorical groups (e.g., berries and leaves) using the shape of feature distribution: Determining whether all objects belong to one or several categories depends on whether the distribution has one or several peaks. Despite the apparent ease of rapid categorization, it is a very computationally demanding task, given severely limited “bottlenecks” of attention and working memory capable of processing only a few objects at a time. Here, we tested whether this rapid categorical parsing is automatic or requires attention. We used the visual mismatch negativity (vMMN) ERP component known as a marker of automatic sensory discrimination. 20 volunteers (16 female, mean age—22.7) participated in our study. Loading participants’ attention with a central task, we observed a substantial vMMN response to unattended background changes of categories defined by certain length-orientation conjunctions. Importantly, this occurred in conditions where the distributions of these features had several peaks and, hence, supported categorical separation. These results suggest that spatially intermixed objects are parsed into distinct categories automatically and give new insight into how the visual system can bypass the severe processing restrictions and form rich perceptual experience.
format	article
author	Vladislav A. Khvostov Anton O. Lukashevich Igor S. Utochkin
author_facet	Vladislav A. Khvostov Anton O. Lukashevich Igor S. Utochkin
author_sort	Vladislav A. Khvostov
title	Spatially intermixed objects of different categories are parsed automatically
title_short	Spatially intermixed objects of different categories are parsed automatically
title_full	Spatially intermixed objects of different categories are parsed automatically
title_fullStr	Spatially intermixed objects of different categories are parsed automatically
title_full_unstemmed	Spatially intermixed objects of different categories are parsed automatically
title_sort	spatially intermixed objects of different categories are parsed automatically
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a41de43ad9214254903dcf18ac55de62
work_keys_str_mv	AT vladislavakhvostov spatiallyintermixedobjectsofdifferentcategoriesareparsedautomatically AT antonolukashevich spatiallyintermixedobjectsofdifferentcategoriesareparsedautomatically AT igorsutochkin spatiallyintermixedobjectsofdifferentcategoriesareparsedautomatically
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Spatially intermixed objects of different categories are parsed automatically

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