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Is Order the Defining Feature of Magnitude Representation? An ERP Study on Learning Numerical Magnitude and Spatial Order of Artificial Symbols
Using an artificial-number learning paradigm and the ERP technique, the present study investigated neural mechanisms involved in the learning of magnitude and spatial order. 54 college students were divided into 2 groups matched in age, gender, and school major. One group was asked to learn the asso...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3501518/ https://www.ncbi.nlm.nih.gov/pubmed/23185363 http://dx.doi.org/10.1371/journal.pone.0049565 |
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author | Zhao, Hui Chen, Chuansheng Zhang, Hongchuan Zhou, Xinlin Mei, Leilei Chen, Chunhui Chen, Lan Cao, Zhongyu Dong, Qi |
author_facet | Zhao, Hui Chen, Chuansheng Zhang, Hongchuan Zhou, Xinlin Mei, Leilei Chen, Chunhui Chen, Lan Cao, Zhongyu Dong, Qi |
author_sort | Zhao, Hui |
collection | PubMed |
description | Using an artificial-number learning paradigm and the ERP technique, the present study investigated neural mechanisms involved in the learning of magnitude and spatial order. 54 college students were divided into 2 groups matched in age, gender, and school major. One group was asked to learn the associations between magnitude (dot patterns) and the meaningless Gibson symbols, and the other group learned the associations between spatial order (horizontal positions on the screen) and the same set of symbols. Results revealed differentiated neural mechanisms underlying the learning processes of symbolic magnitude and spatial order. Compared to magnitude learning, spatial-order learning showed a later and reversed distance effect. Furthermore, an analysis of the order-priming effect showed that order was not inherent to the learning of magnitude. Results of this study showed a dissociation between magnitude and order, which supports the numerosity code hypothesis of mental representations of magnitude. |
format | Online Article Text |
id | pubmed-3501518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35015182012-11-26 Is Order the Defining Feature of Magnitude Representation? An ERP Study on Learning Numerical Magnitude and Spatial Order of Artificial Symbols Zhao, Hui Chen, Chuansheng Zhang, Hongchuan Zhou, Xinlin Mei, Leilei Chen, Chunhui Chen, Lan Cao, Zhongyu Dong, Qi PLoS One Research Article Using an artificial-number learning paradigm and the ERP technique, the present study investigated neural mechanisms involved in the learning of magnitude and spatial order. 54 college students were divided into 2 groups matched in age, gender, and school major. One group was asked to learn the associations between magnitude (dot patterns) and the meaningless Gibson symbols, and the other group learned the associations between spatial order (horizontal positions on the screen) and the same set of symbols. Results revealed differentiated neural mechanisms underlying the learning processes of symbolic magnitude and spatial order. Compared to magnitude learning, spatial-order learning showed a later and reversed distance effect. Furthermore, an analysis of the order-priming effect showed that order was not inherent to the learning of magnitude. Results of this study showed a dissociation between magnitude and order, which supports the numerosity code hypothesis of mental representations of magnitude. Public Library of Science 2012-11-19 /pmc/articles/PMC3501518/ /pubmed/23185363 http://dx.doi.org/10.1371/journal.pone.0049565 Text en © 2012 Zhao et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Zhao, Hui Chen, Chuansheng Zhang, Hongchuan Zhou, Xinlin Mei, Leilei Chen, Chunhui Chen, Lan Cao, Zhongyu Dong, Qi Is Order the Defining Feature of Magnitude Representation? An ERP Study on Learning Numerical Magnitude and Spatial Order of Artificial Symbols |
title | Is Order the Defining Feature of Magnitude Representation? An ERP Study on Learning Numerical Magnitude and Spatial Order of Artificial Symbols |
title_full | Is Order the Defining Feature of Magnitude Representation? An ERP Study on Learning Numerical Magnitude and Spatial Order of Artificial Symbols |
title_fullStr | Is Order the Defining Feature of Magnitude Representation? An ERP Study on Learning Numerical Magnitude and Spatial Order of Artificial Symbols |
title_full_unstemmed | Is Order the Defining Feature of Magnitude Representation? An ERP Study on Learning Numerical Magnitude and Spatial Order of Artificial Symbols |
title_short | Is Order the Defining Feature of Magnitude Representation? An ERP Study on Learning Numerical Magnitude and Spatial Order of Artificial Symbols |
title_sort | is order the defining feature of magnitude representation? an erp study on learning numerical magnitude and spatial order of artificial symbols |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3501518/ https://www.ncbi.nlm.nih.gov/pubmed/23185363 http://dx.doi.org/10.1371/journal.pone.0049565 |
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