Feature-based attention enables robust, long-lasting location transfer in human perceptual learning

Abstract Visual perceptual learning (VPL) is typically specific to the trained location and feature. However, the degree of specificity depends upon particular training protocols. Manipulating covert spatial attention during training facilitates learning transfer to other locations. Here we investig...

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Autores principales:	Shao-Chin Hung, Marisa Carrasco
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d8eec1c23835460fbe09c67a35231cc9
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id	oai:doaj.org-article:d8eec1c23835460fbe09c67a35231cc9
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spelling	oai:doaj.org-article:d8eec1c23835460fbe09c67a35231cc92021-12-02T16:14:47ZFeature-based attention enables robust, long-lasting location transfer in human perceptual learning10.1038/s41598-021-93016-y2045-2322https://doaj.org/article/d8eec1c23835460fbe09c67a35231cc92021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93016-yhttps://doaj.org/toc/2045-2322Abstract Visual perceptual learning (VPL) is typically specific to the trained location and feature. However, the degree of specificity depends upon particular training protocols. Manipulating covert spatial attention during training facilitates learning transfer to other locations. Here we investigated whether feature-based attention (FBA), which enhances the representation of particular features throughout the visual field, facilitates VPL transfer, and how long such an effect would last. To do so, we implemented a novel task in which observers discriminated a stimulus orientation relative to two reference angles presented simultaneously before each block. We found that training with FBA enabled remarkable location transfer, reminiscent of its global effect across the visual field, but preserved orientation specificity in VPL. Critically, both the perceptual improvement and location transfer persisted after 1 year. Our results reveal robust, long-lasting benefits induced by FBA in VPL, and have translational implications for improving generalization of training protocols in visual rehabilitation.Shao-Chin HungMarisa CarrascoNature 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 Shao-Chin Hung Marisa Carrasco Feature-based attention enables robust, long-lasting location transfer in human perceptual learning
description	Abstract Visual perceptual learning (VPL) is typically specific to the trained location and feature. However, the degree of specificity depends upon particular training protocols. Manipulating covert spatial attention during training facilitates learning transfer to other locations. Here we investigated whether feature-based attention (FBA), which enhances the representation of particular features throughout the visual field, facilitates VPL transfer, and how long such an effect would last. To do so, we implemented a novel task in which observers discriminated a stimulus orientation relative to two reference angles presented simultaneously before each block. We found that training with FBA enabled remarkable location transfer, reminiscent of its global effect across the visual field, but preserved orientation specificity in VPL. Critically, both the perceptual improvement and location transfer persisted after 1 year. Our results reveal robust, long-lasting benefits induced by FBA in VPL, and have translational implications for improving generalization of training protocols in visual rehabilitation.
format	article
author	Shao-Chin Hung Marisa Carrasco
author_facet	Shao-Chin Hung Marisa Carrasco
author_sort	Shao-Chin Hung
title	Feature-based attention enables robust, long-lasting location transfer in human perceptual learning
title_short	Feature-based attention enables robust, long-lasting location transfer in human perceptual learning
title_full	Feature-based attention enables robust, long-lasting location transfer in human perceptual learning
title_fullStr	Feature-based attention enables robust, long-lasting location transfer in human perceptual learning
title_full_unstemmed	Feature-based attention enables robust, long-lasting location transfer in human perceptual learning
title_sort	feature-based attention enables robust, long-lasting location transfer in human perceptual learning
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d8eec1c23835460fbe09c67a35231cc9
work_keys_str_mv	AT shaochinhung featurebasedattentionenablesrobustlonglastinglocationtransferinhumanperceptuallearning AT marisacarrasco featurebasedattentionenablesrobustlonglastinglocationtransferinhumanperceptuallearning
_version_	1718384322608627712

Feature-based attention enables robust, long-lasting location transfer in human perceptual learning

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