Comprehensive exploration of visual working memory mechanisms using large-scale behavioral experiment
Abstract Two decades of research on visual working memory have produced substantial yet fragmented knowledge. This study aims to integrate these findings into a cohesive framework. Drawing on a large-scale behavioral experiment involving 40 million responses to 10,000 color patterns, a quasi-compreh...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-56700-5 |
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| _version_ | 1823861843198738432 |
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| author | Liqiang Huang |
| author_facet | Liqiang Huang |
| author_sort | Liqiang Huang |
| collection | DOAJ |
| description | Abstract Two decades of research on visual working memory have produced substantial yet fragmented knowledge. This study aims to integrate these findings into a cohesive framework. Drawing on a large-scale behavioral experiment involving 40 million responses to 10,000 color patterns, a quasi-comprehensive exploration model of visual working memory, termed QCE-VWM, is developed. Despite its significantly reduced complexity (57 parameters versus 30,796), QCE-VWM outperforms neural networks in data fitting. The model provides an integrative framework for understanding human visual working memory, incorporating a dozen mechanisms—some directly adopted from previous studies, some modified, and others newly identified. This work underscores the value of large-scale behavioral experiments in advancing comprehensive models of cognitive mechanisms. |
| format | Article |
| id | doaj-art-ca5266e57ed943869e595b27cd122dab |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-ca5266e57ed943869e595b27cd122dab2025-02-09T12:45:29ZengNature PortfolioNature Communications2041-17232025-02-0116111610.1038/s41467-025-56700-5Comprehensive exploration of visual working memory mechanisms using large-scale behavioral experimentLiqiang Huang0Department of Psychology, The Chinese University of Hong KongAbstract Two decades of research on visual working memory have produced substantial yet fragmented knowledge. This study aims to integrate these findings into a cohesive framework. Drawing on a large-scale behavioral experiment involving 40 million responses to 10,000 color patterns, a quasi-comprehensive exploration model of visual working memory, termed QCE-VWM, is developed. Despite its significantly reduced complexity (57 parameters versus 30,796), QCE-VWM outperforms neural networks in data fitting. The model provides an integrative framework for understanding human visual working memory, incorporating a dozen mechanisms—some directly adopted from previous studies, some modified, and others newly identified. This work underscores the value of large-scale behavioral experiments in advancing comprehensive models of cognitive mechanisms.https://doi.org/10.1038/s41467-025-56700-5 |
| spellingShingle | Liqiang Huang Comprehensive exploration of visual working memory mechanisms using large-scale behavioral experiment Nature Communications |
| title | Comprehensive exploration of visual working memory mechanisms using large-scale behavioral experiment |
| title_full | Comprehensive exploration of visual working memory mechanisms using large-scale behavioral experiment |
| title_fullStr | Comprehensive exploration of visual working memory mechanisms using large-scale behavioral experiment |
| title_full_unstemmed | Comprehensive exploration of visual working memory mechanisms using large-scale behavioral experiment |
| title_short | Comprehensive exploration of visual working memory mechanisms using large-scale behavioral experiment |
| title_sort | comprehensive exploration of visual working memory mechanisms using large scale behavioral experiment |
| url | https://doi.org/10.1038/s41467-025-56700-5 |
| work_keys_str_mv | AT liqianghuang comprehensiveexplorationofvisualworkingmemorymechanismsusinglargescalebehavioralexperiment |