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Processing bimodal stimuli: integrality/separability of color and orientation

We examined how two distinct stimulus features, orientation and color, interact as contributions to global stimulus dissimilarity. Five subjects rated dissimilarity between pairs of bars (N = 30) varying in color (four cardinal hues, plus white) and orientation (six angles at 30° intervals). An expl...

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Autores principales: Bimler, David L., Izmailov, Chingis A., Paramei, Galina V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3798012/
https://www.ncbi.nlm.nih.gov/pubmed/24151481
http://dx.doi.org/10.3389/fpsyg.2013.00759
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author Bimler, David L.
Izmailov, Chingis A.
Paramei, Galina V.
author_facet Bimler, David L.
Izmailov, Chingis A.
Paramei, Galina V.
author_sort Bimler, David L.
collection PubMed
description We examined how two distinct stimulus features, orientation and color, interact as contributions to global stimulus dissimilarity. Five subjects rated dissimilarity between pairs of bars (N = 30) varying in color (four cardinal hues, plus white) and orientation (six angles at 30° intervals). An exploratory analysis with individual-differences multidimensional scaling (MDS) resulted in a 5D solution, with two dimensions required to accommodate the circular sequence of the angular attribute, and red-green, blue-yellow and achromatic axes for the color attribute. Weights of the orientation subspace relative to the color subspace varied among the subjects, from a 0.32:0.61 ratio to 0.53:0.44, emphasis shifting between color and orientation. In addition to Euclidean metric, we modeled the interaction of color and orientation using Minkowski power metrics across a range of Minkowski exponents p, including the city-block (p = 1), Euclidean (p = 2) and Dominance metric (p → ∞) as special cases. For averaged data, p ~ 1.3 provided the best fit, i.e., intermediate between separable and integral features. For individual subjects, however, the metric exponent varied significantly from p = 0.7 to p = 3.1, indicating a subject-specific rule for combining color and orientation, as in Tversky and Gati's variable-weights model. No relationship was apparent between dimensional weights and individual p exponents. Factors affecting dimensional integrality are discussed, including possible underlying neural mechanisms where the interaction of the low-level vision attributes orientation and color might shift between uncorrelated (p = 1) or correlated (p ≥ 2) forms.
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spelling pubmed-37980122013-10-22 Processing bimodal stimuli: integrality/separability of color and orientation Bimler, David L. Izmailov, Chingis A. Paramei, Galina V. Front Psychol Psychology We examined how two distinct stimulus features, orientation and color, interact as contributions to global stimulus dissimilarity. Five subjects rated dissimilarity between pairs of bars (N = 30) varying in color (four cardinal hues, plus white) and orientation (six angles at 30° intervals). An exploratory analysis with individual-differences multidimensional scaling (MDS) resulted in a 5D solution, with two dimensions required to accommodate the circular sequence of the angular attribute, and red-green, blue-yellow and achromatic axes for the color attribute. Weights of the orientation subspace relative to the color subspace varied among the subjects, from a 0.32:0.61 ratio to 0.53:0.44, emphasis shifting between color and orientation. In addition to Euclidean metric, we modeled the interaction of color and orientation using Minkowski power metrics across a range of Minkowski exponents p, including the city-block (p = 1), Euclidean (p = 2) and Dominance metric (p → ∞) as special cases. For averaged data, p ~ 1.3 provided the best fit, i.e., intermediate between separable and integral features. For individual subjects, however, the metric exponent varied significantly from p = 0.7 to p = 3.1, indicating a subject-specific rule for combining color and orientation, as in Tversky and Gati's variable-weights model. No relationship was apparent between dimensional weights and individual p exponents. Factors affecting dimensional integrality are discussed, including possible underlying neural mechanisms where the interaction of the low-level vision attributes orientation and color might shift between uncorrelated (p = 1) or correlated (p ≥ 2) forms. Frontiers Media S.A. 2013-10-17 /pmc/articles/PMC3798012/ /pubmed/24151481 http://dx.doi.org/10.3389/fpsyg.2013.00759 Text en Copyright © 2013 Bimler, Izmailov and Paramei. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Bimler, David L.
Izmailov, Chingis A.
Paramei, Galina V.
Processing bimodal stimuli: integrality/separability of color and orientation
title Processing bimodal stimuli: integrality/separability of color and orientation
title_full Processing bimodal stimuli: integrality/separability of color and orientation
title_fullStr Processing bimodal stimuli: integrality/separability of color and orientation
title_full_unstemmed Processing bimodal stimuli: integrality/separability of color and orientation
title_short Processing bimodal stimuli: integrality/separability of color and orientation
title_sort processing bimodal stimuli: integrality/separability of color and orientation
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3798012/
https://www.ncbi.nlm.nih.gov/pubmed/24151481
http://dx.doi.org/10.3389/fpsyg.2013.00759
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