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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2012-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3501518?pdf=render |
| _version_ | 1818042517076049920 |
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| author | Hui Zhao Chuansheng Chen Hongchuan Zhang Xinlin Zhou Leilei Mei Chunhui Chen Lan Chen Zhongyu Cao Qi Dong |
| author_facet | Hui Zhao Chuansheng Chen Hongchuan Zhang Xinlin Zhou Leilei Mei Chunhui Chen Lan Chen Zhongyu Cao Qi Dong |
| author_sort | Hui Zhao |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-10T08:47:34Z |
| format | Article |
| id | doaj.art-b9b283afbfc84ead89c60ed38bd6dde0 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-10T08:47:34Z |
| publishDate | 2012-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-b9b283afbfc84ead89c60ed38bd6dde02022-12-22T01:55:42ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-01711e4956510.1371/journal.pone.0049565Is order the defining feature of magnitude representation? An ERP study on learning numerical magnitude and spatial order of artificial symbols.Hui ZhaoChuansheng ChenHongchuan ZhangXinlin ZhouLeilei MeiChunhui ChenLan ChenZhongyu CaoQi DongUsing 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.http://europepmc.org/articles/PMC3501518?pdf=render |
| spellingShingle | Hui Zhao Chuansheng Chen Hongchuan Zhang Xinlin Zhou Leilei Mei Chunhui Chen Lan Chen Zhongyu Cao Qi Dong Is order the defining feature of magnitude representation? An ERP study on learning numerical magnitude and spatial order of artificial symbols. PLoS ONE |
| 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 |
| url | http://europepmc.org/articles/PMC3501518?pdf=render |
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