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The spatiotemporal neural dynamics underlying perceived similarity for real-world objects

The degree to which we perceive real-world objects as similar or dissimilar structures our perception and guides categorization behavior. Here, we investigated the neural representations enabling perceived similarity using behavioral judgments, fMRI and MEG. As different object dimensions co-occur a...

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Detalles Bibliográficos
Autores principales: Cichy, Radoslaw M., Kriegeskorte, Nikolaus, Jozwik, Kamila M., van den Bosch, Jasper J.F., Charest, Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547050/
https://www.ncbi.nlm.nih.gov/pubmed/30894333
http://dx.doi.org/10.1016/j.neuroimage.2019.03.031
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author Cichy, Radoslaw M.
Kriegeskorte, Nikolaus
Jozwik, Kamila M.
van den Bosch, Jasper J.F.
Charest, Ian
author_facet Cichy, Radoslaw M.
Kriegeskorte, Nikolaus
Jozwik, Kamila M.
van den Bosch, Jasper J.F.
Charest, Ian
author_sort Cichy, Radoslaw M.
collection PubMed
description The degree to which we perceive real-world objects as similar or dissimilar structures our perception and guides categorization behavior. Here, we investigated the neural representations enabling perceived similarity using behavioral judgments, fMRI and MEG. As different object dimensions co-occur and partly correlate, to understand the relationship between perceived similarity and brain activity it is necessary to assess the unique role of multiple object dimensions. We thus behaviorally assessed perceived object similarity in relation to shape, function, color and background. We then used representational similarity analyses to relate these behavioral judgments to brain activity. We observed a link between each object dimension and representations in visual cortex. These representations emerged rapidly within 200 ms of stimulus onset. Assessing the unique role of each object dimension revealed partly overlapping and distributed representations: while color-related representations distinctly preceded shape-related representations both in the processing hierarchy of the ventral visual pathway and in time, several dimensions were linked to high-level ventral visual cortex. Further analysis singled out the shape dimension as neither fully accounted for by supra-category membership, nor a deep neural network trained on object categorization. Together our results comprehensively characterize the relationship between perceived similarity of key object dimensions and neural activity.
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spelling pubmed-65470502019-07-01 The spatiotemporal neural dynamics underlying perceived similarity for real-world objects Cichy, Radoslaw M. Kriegeskorte, Nikolaus Jozwik, Kamila M. van den Bosch, Jasper J.F. Charest, Ian Neuroimage Article The degree to which we perceive real-world objects as similar or dissimilar structures our perception and guides categorization behavior. Here, we investigated the neural representations enabling perceived similarity using behavioral judgments, fMRI and MEG. As different object dimensions co-occur and partly correlate, to understand the relationship between perceived similarity and brain activity it is necessary to assess the unique role of multiple object dimensions. We thus behaviorally assessed perceived object similarity in relation to shape, function, color and background. We then used representational similarity analyses to relate these behavioral judgments to brain activity. We observed a link between each object dimension and representations in visual cortex. These representations emerged rapidly within 200 ms of stimulus onset. Assessing the unique role of each object dimension revealed partly overlapping and distributed representations: while color-related representations distinctly preceded shape-related representations both in the processing hierarchy of the ventral visual pathway and in time, several dimensions were linked to high-level ventral visual cortex. Further analysis singled out the shape dimension as neither fully accounted for by supra-category membership, nor a deep neural network trained on object categorization. Together our results comprehensively characterize the relationship between perceived similarity of key object dimensions and neural activity. Academic Press 2019-07-01 /pmc/articles/PMC6547050/ /pubmed/30894333 http://dx.doi.org/10.1016/j.neuroimage.2019.03.031 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Cichy, Radoslaw M.
Kriegeskorte, Nikolaus
Jozwik, Kamila M.
van den Bosch, Jasper J.F.
Charest, Ian
The spatiotemporal neural dynamics underlying perceived similarity for real-world objects
title The spatiotemporal neural dynamics underlying perceived similarity for real-world objects
title_full The spatiotemporal neural dynamics underlying perceived similarity for real-world objects
title_fullStr The spatiotemporal neural dynamics underlying perceived similarity for real-world objects
title_full_unstemmed The spatiotemporal neural dynamics underlying perceived similarity for real-world objects
title_short The spatiotemporal neural dynamics underlying perceived similarity for real-world objects
title_sort spatiotemporal neural dynamics underlying perceived similarity for real-world objects
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547050/
https://www.ncbi.nlm.nih.gov/pubmed/30894333
http://dx.doi.org/10.1016/j.neuroimage.2019.03.031
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