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      Feature-based attention warps the perception of visual features

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          Abstract

          Selective attention improves sensory processing of relevant information but can also impact the quality of perception. For example, attention increases visual discrimination performance and at the same time boosts apparent stimulus contrast of attended relative to unattended stimuli. Can attention also lead to perceptual distortions of visual representations? Optimal tuning accounts of attention suggest that processing is biased towards “off-tuned” features to maximize the signal-to-noise ratio in favor of the target, especially when targets and distractors are confusable. Here, we tested whether such tuning gives rise to phenomenological changes of visual features. We instructed participants to select a color among other colors in a visual search display and subsequently asked them to judge the appearance of the target color in a 2-alternative forced choice task. Participants consistently judged the target color to appear more dissimilar from the distractor color in feature space. Critically, the magnitude of these perceptual biases varied systematically with the similarity between target and distractor colors during search, indicating that attentional tuning quickly adapts to current task demands. In control experiments we rule out possible non-attentional explanations such as color contrast or memory effects. Overall, our results demonstrate that selective attention warps the representational geometry of color space, resulting in profound perceptual changes across large swaths of feature space. Broadly, these results indicate that efficient attentional selection can come at a perceptual cost by distorting our sensory experience.

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          Visual attention: the past 25 years.

          This review focuses on covert attention and how it alters early vision. I explain why attention is considered a selective process, the constructs of covert attention, spatial endogenous and exogenous attention, and feature-based attention. I explain how in the last 25 years research on attention has characterized the effects of covert attention on spatial filters and how attention influences the selection of stimuli of interest. This review includes the effects of spatial attention on discriminability and appearance in tasks mediated by contrast sensitivity and spatial resolution; the effects of feature-based attention on basic visual processes, and a comparison of the effects of spatial and feature-based attention. The emphasis of this review is on psychophysical studies, but relevant electrophysiological and neuroimaging studies and models regarding how and where neuronal responses are modulated are also discussed. Copyright © 2011 Elsevier Ltd. All rights reserved.
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            Neural mechanisms of selective visual attention.

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              Orienting of attention

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                Author and article information

                Contributors
                angusc@bu.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                20 April 2023
                20 April 2023
                2023
                : 13
                : 6487
                Affiliations
                [1 ]GRID grid.266100.3, ISNI 0000 0001 2107 4242, Department of Psychology, , UC San Diego, ; La Jolla, CA 92092 USA
                [2 ]Cognitive Clinical and Computational Neuroscience Lab, KCMH Chula Neuroscience Center, Thai Red Cross Society, Department of Internal Medicine, Chulalongkorn University, Bangkok, 10330 Thailand
                [3 ]GRID grid.254880.3, ISNI 0000 0001 2179 2404, Department of Brain and Psychological Sciences, , Dartmouth College, ; Hanover, NH USA
                [4 ]GRID grid.189504.1, ISNI 0000 0004 1936 7558, Department of Psychological and Brain Sciences, , Boston University, ; 64 Cummington Mall, Boston, MA 02215 USA
                Article
                33488
                10.1038/s41598-023-33488-2
                10119379
                37081047
                4eafa020-9b9b-447e-9225-5eb0d9a4081c
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 October 2022
                : 13 April 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: BCS-1850738
                Award Recipient :
                Categories
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                © The Author(s) 2023

                Uncategorized
                human behaviour,attention
                Uncategorized
                human behaviour, attention

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