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On the rules of integration of crowded orientation signals

Crowding is related to an integration of feature signals over an inappropriately large area in the visual periphery. The rules of this integration are still not well understood. This study attempts to understand how the orientation signals from the target and flankers are combined. A target Gabor, t...

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Detalles Bibliográficos
Autor principal: Põder, Endel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pion 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3485841/
https://www.ncbi.nlm.nih.gov/pubmed/23145295
http://dx.doi.org/10.1068/i0412
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author Põder, Endel
author_facet Põder, Endel
author_sort Põder, Endel
collection PubMed
description Crowding is related to an integration of feature signals over an inappropriately large area in the visual periphery. The rules of this integration are still not well understood. This study attempts to understand how the orientation signals from the target and flankers are combined. A target Gabor, together with 2, 4, or 6 flanking Gabors, was briefly presented in a peripheral location (4° eccentricity). The observer's task was to identify the orientation of the target (eight-alternative forced-choice). Performance was found to be nonmonotonically dependent on the target–flanker orientation difference (a drop at intermediate differences). For small target–flanker differences, a strong assimilation bias was observed. An effect of the number of flankers was found for heterogeneous flankers only. It appears that different rules of integration are used, dependent on some salient aspects (target pop-out, homogeneity–heterogeneity) of the stimulus pattern. The strategy of combining simple rules may be explained by the goal of the visual system to encode potentially important aspects of a stimulus with limited processing resources and using statistical regularities of the natural visual environment.
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spelling pubmed-34858412012-11-09 On the rules of integration of crowded orientation signals Põder, Endel Iperception Article Crowding is related to an integration of feature signals over an inappropriately large area in the visual periphery. The rules of this integration are still not well understood. This study attempts to understand how the orientation signals from the target and flankers are combined. A target Gabor, together with 2, 4, or 6 flanking Gabors, was briefly presented in a peripheral location (4° eccentricity). The observer's task was to identify the orientation of the target (eight-alternative forced-choice). Performance was found to be nonmonotonically dependent on the target–flanker orientation difference (a drop at intermediate differences). For small target–flanker differences, a strong assimilation bias was observed. An effect of the number of flankers was found for heterogeneous flankers only. It appears that different rules of integration are used, dependent on some salient aspects (target pop-out, homogeneity–heterogeneity) of the stimulus pattern. The strategy of combining simple rules may be explained by the goal of the visual system to encode potentially important aspects of a stimulus with limited processing resources and using statistical regularities of the natural visual environment. Pion 2012-07-09 /pmc/articles/PMC3485841/ /pubmed/23145295 http://dx.doi.org/10.1068/i0412 Text en Copyright © 2012 E Põder http://creativecommons.org/licenses/by-nc-nd/3.0/ This open-access article is distributed under a Creative Commons Licence, which permits noncommercial use, distribution, and reproduction, provided the original author(s) and source are credited and no alterations are made.
spellingShingle Article
Põder, Endel
On the rules of integration of crowded orientation signals
title On the rules of integration of crowded orientation signals
title_full On the rules of integration of crowded orientation signals
title_fullStr On the rules of integration of crowded orientation signals
title_full_unstemmed On the rules of integration of crowded orientation signals
title_short On the rules of integration of crowded orientation signals
title_sort on the rules of integration of crowded orientation signals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3485841/
https://www.ncbi.nlm.nih.gov/pubmed/23145295
http://dx.doi.org/10.1068/i0412
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