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Ramp-shaped neural tuning supports graded population-level representation of the object-to-scene continuum

We can easily perceive the spatial scale depicted in a picture, regardless of whether it is a small space (e.g., a close-up view of a chair) or a much larger space (e.g., an entire class room). How does the human visual system encode this continuous dimension? Here, we investigated the underlying ne...

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Autores principales: Park, Jeongho, Josephs, Emilie, Konkle, Talia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613906/
https://www.ncbi.nlm.nih.gov/pubmed/36302932
http://dx.doi.org/10.1038/s41598-022-21768-2
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author Park, Jeongho
Josephs, Emilie
Konkle, Talia
author_facet Park, Jeongho
Josephs, Emilie
Konkle, Talia
author_sort Park, Jeongho
collection PubMed
description We can easily perceive the spatial scale depicted in a picture, regardless of whether it is a small space (e.g., a close-up view of a chair) or a much larger space (e.g., an entire class room). How does the human visual system encode this continuous dimension? Here, we investigated the underlying neural coding of depicted spatial scale, by examining the voxel tuning and topographic organization of brain responses. We created naturalistic yet carefully-controlled stimuli by constructing virtual indoor environments, and rendered a series of snapshots to smoothly sample between a close-up view of the central object and far-scale view of the full environment (object-to-scene continuum). Human brain responses were measured to each position using functional magnetic resonance imaging. We did not find evidence for a smooth topographic mapping for the object-to-scene continuum on the cortex. Instead, we observed large swaths of cortex with opposing ramp-shaped profiles, with highest responses to one end of the object-to-scene continuum or the other, and a small region showing a weak tuning to intermediate scale views. However, when we considered the population code of the entire ventral occipito-temporal cortex, we found smooth and linear representation of the object-to-scene continuum. Our results together suggest that depicted spatial scale information is encoded parametrically in large-scale population codes across the entire ventral occipito-temporal cortex.
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spelling pubmed-96139062022-10-29 Ramp-shaped neural tuning supports graded population-level representation of the object-to-scene continuum Park, Jeongho Josephs, Emilie Konkle, Talia Sci Rep Article We can easily perceive the spatial scale depicted in a picture, regardless of whether it is a small space (e.g., a close-up view of a chair) or a much larger space (e.g., an entire class room). How does the human visual system encode this continuous dimension? Here, we investigated the underlying neural coding of depicted spatial scale, by examining the voxel tuning and topographic organization of brain responses. We created naturalistic yet carefully-controlled stimuli by constructing virtual indoor environments, and rendered a series of snapshots to smoothly sample between a close-up view of the central object and far-scale view of the full environment (object-to-scene continuum). Human brain responses were measured to each position using functional magnetic resonance imaging. We did not find evidence for a smooth topographic mapping for the object-to-scene continuum on the cortex. Instead, we observed large swaths of cortex with opposing ramp-shaped profiles, with highest responses to one end of the object-to-scene continuum or the other, and a small region showing a weak tuning to intermediate scale views. However, when we considered the population code of the entire ventral occipito-temporal cortex, we found smooth and linear representation of the object-to-scene continuum. Our results together suggest that depicted spatial scale information is encoded parametrically in large-scale population codes across the entire ventral occipito-temporal cortex. Nature Publishing Group UK 2022-10-27 /pmc/articles/PMC9613906/ /pubmed/36302932 http://dx.doi.org/10.1038/s41598-022-21768-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Park, Jeongho
Josephs, Emilie
Konkle, Talia
Ramp-shaped neural tuning supports graded population-level representation of the object-to-scene continuum
title Ramp-shaped neural tuning supports graded population-level representation of the object-to-scene continuum
title_full Ramp-shaped neural tuning supports graded population-level representation of the object-to-scene continuum
title_fullStr Ramp-shaped neural tuning supports graded population-level representation of the object-to-scene continuum
title_full_unstemmed Ramp-shaped neural tuning supports graded population-level representation of the object-to-scene continuum
title_short Ramp-shaped neural tuning supports graded population-level representation of the object-to-scene continuum
title_sort ramp-shaped neural tuning supports graded population-level representation of the object-to-scene continuum
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613906/
https://www.ncbi.nlm.nih.gov/pubmed/36302932
http://dx.doi.org/10.1038/s41598-022-21768-2
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