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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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. |
format | Online Article Text |
id | pubmed-6527710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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