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Fine-grained temporal coding of visually-similar categories in the ventral visual pathway and prefrontal cortex

Humans are remarkably proficient at categorizing visually-similar objects. To better understand the cortical basis of this categorization process, we used magnetoencephalography (MEG) to record neural activity while participants learned–with feedback–to discriminate two highly-similar, novel visual...

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Autores principales: Xu, Yang, D'Lauro, Christopher, Pyles, John A., Kass, Robert E., Tarr, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3797963/
https://www.ncbi.nlm.nih.gov/pubmed/24146656
http://dx.doi.org/10.3389/fpsyg.2013.00684
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author Xu, Yang
D'Lauro, Christopher
Pyles, John A.
Kass, Robert E.
Tarr, Michael J.
author_facet Xu, Yang
D'Lauro, Christopher
Pyles, John A.
Kass, Robert E.
Tarr, Michael J.
author_sort Xu, Yang
collection PubMed
description Humans are remarkably proficient at categorizing visually-similar objects. To better understand the cortical basis of this categorization process, we used magnetoencephalography (MEG) to record neural activity while participants learned–with feedback–to discriminate two highly-similar, novel visual categories. We hypothesized that although prefrontal regions would mediate early category learning, this role would diminish with increasing category familiarity and that regions within the ventral visual pathway would come to play a more prominent role in encoding category-relevant information as learning progressed. Early in learning we observed some degree of categorical discriminability and predictability in both prefrontal cortex and the ventral visual pathway. Predictability improved significantly above chance in the ventral visual pathway over the course of learning with the left inferior temporal and fusiform gyri showing the greatest improvement in predictability between 150 and 250 ms (M200) during category learning. In contrast, there was no comparable increase in discriminability in prefrontal cortex with the only significant post-learning effect being a decrease in predictability in the inferior frontal gyrus between 250 and 350 ms (M300). Thus, the ventral visual pathway appears to encode learned visual categories over the long term. At the same time these results add to our understanding of the cortical origins of previously reported signature temporal components associated with perceptual learning.
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spelling pubmed-37979632013-10-21 Fine-grained temporal coding of visually-similar categories in the ventral visual pathway and prefrontal cortex Xu, Yang D'Lauro, Christopher Pyles, John A. Kass, Robert E. Tarr, Michael J. Front Psychol Psychology Humans are remarkably proficient at categorizing visually-similar objects. To better understand the cortical basis of this categorization process, we used magnetoencephalography (MEG) to record neural activity while participants learned–with feedback–to discriminate two highly-similar, novel visual categories. We hypothesized that although prefrontal regions would mediate early category learning, this role would diminish with increasing category familiarity and that regions within the ventral visual pathway would come to play a more prominent role in encoding category-relevant information as learning progressed. Early in learning we observed some degree of categorical discriminability and predictability in both prefrontal cortex and the ventral visual pathway. Predictability improved significantly above chance in the ventral visual pathway over the course of learning with the left inferior temporal and fusiform gyri showing the greatest improvement in predictability between 150 and 250 ms (M200) during category learning. In contrast, there was no comparable increase in discriminability in prefrontal cortex with the only significant post-learning effect being a decrease in predictability in the inferior frontal gyrus between 250 and 350 ms (M300). Thus, the ventral visual pathway appears to encode learned visual categories over the long term. At the same time these results add to our understanding of the cortical origins of previously reported signature temporal components associated with perceptual learning. Frontiers Media S.A. 2013-10-17 /pmc/articles/PMC3797963/ /pubmed/24146656 http://dx.doi.org/10.3389/fpsyg.2013.00684 Text en Copyright © 2013 Xu, D'Lauro, Pyles, Kass and Tarr. 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
Xu, Yang
D'Lauro, Christopher
Pyles, John A.
Kass, Robert E.
Tarr, Michael J.
Fine-grained temporal coding of visually-similar categories in the ventral visual pathway and prefrontal cortex
title Fine-grained temporal coding of visually-similar categories in the ventral visual pathway and prefrontal cortex
title_full Fine-grained temporal coding of visually-similar categories in the ventral visual pathway and prefrontal cortex
title_fullStr Fine-grained temporal coding of visually-similar categories in the ventral visual pathway and prefrontal cortex
title_full_unstemmed Fine-grained temporal coding of visually-similar categories in the ventral visual pathway and prefrontal cortex
title_short Fine-grained temporal coding of visually-similar categories in the ventral visual pathway and prefrontal cortex
title_sort fine-grained temporal coding of visually-similar categories in the ventral visual pathway and prefrontal cortex
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3797963/
https://www.ncbi.nlm.nih.gov/pubmed/24146656
http://dx.doi.org/10.3389/fpsyg.2013.00684
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