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Common spatiotemporal processing of visual features shapes object representation

Biological vision relies on representations of the physical world at different levels of complexity. Relevant features span from simple low-level properties, as contrast and spatial frequencies, to object-based attributes, as shape and category. However, how these features are integrated into cohere...

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Autores principales: Papale, Paolo, Betta, Monica, Handjaras, Giacomo, Malfatti, Giulia, Cecchetti, Luca, Rampinini, Alessandra, Pietrini, Pietro, Ricciardi, Emiliano, Turella, Luca, Leo, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527710/
https://www.ncbi.nlm.nih.gov/pubmed/31110195
http://dx.doi.org/10.1038/s41598-019-43956-3
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author Papale, Paolo
Betta, Monica
Handjaras, Giacomo
Malfatti, Giulia
Cecchetti, Luca
Rampinini, Alessandra
Pietrini, Pietro
Ricciardi, Emiliano
Turella, Luca
Leo, Andrea
author_facet Papale, Paolo
Betta, Monica
Handjaras, Giacomo
Malfatti, Giulia
Cecchetti, Luca
Rampinini, Alessandra
Pietrini, Pietro
Ricciardi, Emiliano
Turella, Luca
Leo, Andrea
author_sort Papale, Paolo
collection PubMed
description Biological vision relies on representations of the physical world at different levels of complexity. Relevant features span from simple low-level properties, as contrast and spatial frequencies, to object-based attributes, as shape and category. However, how these features are integrated into coherent percepts is still debated. Moreover, these dimensions often share common biases: for instance, stimuli from the same category (e.g., tools) may have similar shapes. Here, using magnetoencephalography, we revealed the temporal dynamics of feature processing in human subjects attending to objects from six semantic categories. By employing Relative Weights Analysis, we mitigated collinearity between model-based descriptions of stimuli and showed that low-level properties (contrast and spatial frequencies), shape (medial-axis) and category are represented within the same spatial locations early in time: 100–150 ms after stimulus onset. This fast and overlapping processing may result from independent parallel computations, with categorical representation emerging later than the onset of low-level feature processing, yet before shape coding. Categorical information is represented both before and after shape, suggesting a role for this feature in the refinement of categorical matching.
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spelling pubmed-65277102019-05-30 Common spatiotemporal processing of visual features shapes object representation Papale, Paolo Betta, Monica Handjaras, Giacomo Malfatti, Giulia Cecchetti, Luca Rampinini, Alessandra Pietrini, Pietro Ricciardi, Emiliano Turella, Luca Leo, Andrea Sci Rep Article Biological vision relies on representations of the physical world at different levels of complexity. Relevant features span from simple low-level properties, as contrast and spatial frequencies, to object-based attributes, as shape and category. However, how these features are integrated into coherent percepts is still debated. Moreover, these dimensions often share common biases: for instance, stimuli from the same category (e.g., tools) may have similar shapes. Here, using magnetoencephalography, we revealed the temporal dynamics of feature processing in human subjects attending to objects from six semantic categories. By employing Relative Weights Analysis, we mitigated collinearity between model-based descriptions of stimuli and showed that low-level properties (contrast and spatial frequencies), shape (medial-axis) and category are represented within the same spatial locations early in time: 100–150 ms after stimulus onset. This fast and overlapping processing may result from independent parallel computations, with categorical representation emerging later than the onset of low-level feature processing, yet before shape coding. Categorical information is represented both before and after shape, suggesting a role for this feature in the refinement of categorical matching. Nature Publishing Group UK 2019-05-20 /pmc/articles/PMC6527710/ /pubmed/31110195 http://dx.doi.org/10.1038/s41598-019-43956-3 Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Papale, Paolo
Betta, Monica
Handjaras, Giacomo
Malfatti, Giulia
Cecchetti, Luca
Rampinini, Alessandra
Pietrini, Pietro
Ricciardi, Emiliano
Turella, Luca
Leo, Andrea
Common spatiotemporal processing of visual features shapes object representation
title Common spatiotemporal processing of visual features shapes object representation
title_full Common spatiotemporal processing of visual features shapes object representation
title_fullStr Common spatiotemporal processing of visual features shapes object representation
title_full_unstemmed Common spatiotemporal processing of visual features shapes object representation
title_short Common spatiotemporal processing of visual features shapes object representation
title_sort common spatiotemporal processing of visual features shapes object representation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527710/
https://www.ncbi.nlm.nih.gov/pubmed/31110195
http://dx.doi.org/10.1038/s41598-019-43956-3
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