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Exploring the spatio-temporal neural basis of face learning

Humans are experts at face individuation. Although previous work has identified a network of face-sensitive regions and some of the temporal signatures of face processing, as yet, we do not have a clear understanding of how such face-sensitive regions support learning at different time points. To st...

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Autores principales: Yang, Ying, Xu, Yang, Jew, Carol A., Pyles, John A., Kass, Robert E., Tarr, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5461867/
https://www.ncbi.nlm.nih.gov/pubmed/28570739
http://dx.doi.org/10.1167/17.6.1
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author Yang, Ying
Xu, Yang
Jew, Carol A.
Pyles, John A.
Kass, Robert E.
Tarr, Michael J.
author_facet Yang, Ying
Xu, Yang
Jew, Carol A.
Pyles, John A.
Kass, Robert E.
Tarr, Michael J.
author_sort Yang, Ying
collection PubMed
description Humans are experts at face individuation. Although previous work has identified a network of face-sensitive regions and some of the temporal signatures of face processing, as yet, we do not have a clear understanding of how such face-sensitive regions support learning at different time points. To study the joint spatio-temporal neural basis of face learning, we trained subjects to categorize two groups of novel faces and recorded their neural responses using magnetoencephalography (MEG) throughout learning. A regression analysis of neural responses in face-sensitive regions against behavioral learning curves revealed significant correlations with learning in the majority of the face-sensitive regions in the face network, mostly between 150–250 ms, but also after 300 ms. However, the effect was smaller in nonventral regions (within the superior temporal areas and prefrontal cortex) than that in the ventral regions (within the inferior occipital gyri (IOG), midfusiform gyri (mFUS) and anterior temporal lobes). A multivariate discriminant analysis also revealed that IOG and mFUS, which showed strong correlation effects with learning, exhibited significant discriminability between the two face categories at different time points both between 150–250 ms and after 300 ms. In contrast, the nonventral face-sensitive regions, where correlation effects with learning were smaller, did exhibit some significant discriminability, but mainly after 300 ms. In sum, our findings indicate that early and recurring temporal components arising from ventral face-sensitive regions are critically involved in learning new faces.
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spelling pubmed-54618672017-06-08 Exploring the spatio-temporal neural basis of face learning Yang, Ying Xu, Yang Jew, Carol A. Pyles, John A. Kass, Robert E. Tarr, Michael J. J Vis Article Humans are experts at face individuation. Although previous work has identified a network of face-sensitive regions and some of the temporal signatures of face processing, as yet, we do not have a clear understanding of how such face-sensitive regions support learning at different time points. To study the joint spatio-temporal neural basis of face learning, we trained subjects to categorize two groups of novel faces and recorded their neural responses using magnetoencephalography (MEG) throughout learning. A regression analysis of neural responses in face-sensitive regions against behavioral learning curves revealed significant correlations with learning in the majority of the face-sensitive regions in the face network, mostly between 150–250 ms, but also after 300 ms. However, the effect was smaller in nonventral regions (within the superior temporal areas and prefrontal cortex) than that in the ventral regions (within the inferior occipital gyri (IOG), midfusiform gyri (mFUS) and anterior temporal lobes). A multivariate discriminant analysis also revealed that IOG and mFUS, which showed strong correlation effects with learning, exhibited significant discriminability between the two face categories at different time points both between 150–250 ms and after 300 ms. In contrast, the nonventral face-sensitive regions, where correlation effects with learning were smaller, did exhibit some significant discriminability, but mainly after 300 ms. In sum, our findings indicate that early and recurring temporal components arising from ventral face-sensitive regions are critically involved in learning new faces. The Association for Research in Vision and Ophthalmology 2017-06-01 /pmc/articles/PMC5461867/ /pubmed/28570739 http://dx.doi.org/10.1167/17.6.1 Text en Copyright 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Article
Yang, Ying
Xu, Yang
Jew, Carol A.
Pyles, John A.
Kass, Robert E.
Tarr, Michael J.
Exploring the spatio-temporal neural basis of face learning
title Exploring the spatio-temporal neural basis of face learning
title_full Exploring the spatio-temporal neural basis of face learning
title_fullStr Exploring the spatio-temporal neural basis of face learning
title_full_unstemmed Exploring the spatio-temporal neural basis of face learning
title_short Exploring the spatio-temporal neural basis of face learning
title_sort exploring the spatio-temporal neural basis of face learning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5461867/
https://www.ncbi.nlm.nih.gov/pubmed/28570739
http://dx.doi.org/10.1167/17.6.1
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