Neural decoding reveals dynamic patterns of visual chunk memory processes
Chunk memory constitutes the basic unit that manages long-term memory and converts it into immediate decision-making processes, it remains unclear how to interpret and organize incoming information to form effective chunk memory. This paper investigates electroencephalography (EEG) patterns from the...
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| Language: | English |
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Elsevier
2025-02-01
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| Series: | Brain Research Bulletin |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0361923025000206 |
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| author | Chantat Leong Fei Gao Zhen Yuan |
| author_facet | Chantat Leong Fei Gao Zhen Yuan |
| author_sort | Chantat Leong |
| collection | DOAJ |
| description | Chunk memory constitutes the basic unit that manages long-term memory and converts it into immediate decision-making processes, it remains unclear how to interpret and organize incoming information to form effective chunk memory. This paper investigates electroencephalography (EEG) patterns from the perspective of time-domain feature extraction using chunk memory in visual statistical learning and combines time-resolved multivariate pattern analysis (MVPA). The GFP and MVPA results revealed that chunk memory processes occurred during specific time windows in the learning phase. These processes included attention modulation (P1), recognition and feature extraction (P2), and segmentation for long-term memory conversion (P6). In the decision-making stage, chunk memory processes were encoded by four ERP components. Scene processing correlated with P1, followed by feature extraction facilitated by P2, encoding process (P4), and segmentation process (P6). This paper identifies the early process of chunk memory through implicit learning and applies univariate and multivariate approaches to establish the neural activity patterns of the early chunk memory process, which provides ideas for subsequent related studies. |
| format | Article |
| id | doaj-art-def271955b634b36b3d9c28571d0a7e4 |
| institution | Kabale University |
| issn | 1873-2747 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Brain Research Bulletin |
| spelling | doaj-art-def271955b634b36b3d9c28571d0a7e42025-02-07T04:46:43ZengElsevierBrain Research Bulletin1873-27472025-02-01221111208Neural decoding reveals dynamic patterns of visual chunk memory processesChantat Leong0Fei Gao1Zhen Yuan2Centre for Cognitive and Brain Sciences, University of Macau, Macao; Faculty of Health Sciences, University of Macau, MacaoInstitute of Modern Languages and Linguistics, Fudan University, Shanghai, ChinaCentre for Cognitive and Brain Sciences, University of Macau, Macao; Faculty of Health Sciences, University of Macau, Macao; Corresponding author at: Centre for Cognitive and Brain Sciences, University of Macau, Macao.Chunk memory constitutes the basic unit that manages long-term memory and converts it into immediate decision-making processes, it remains unclear how to interpret and organize incoming information to form effective chunk memory. This paper investigates electroencephalography (EEG) patterns from the perspective of time-domain feature extraction using chunk memory in visual statistical learning and combines time-resolved multivariate pattern analysis (MVPA). The GFP and MVPA results revealed that chunk memory processes occurred during specific time windows in the learning phase. These processes included attention modulation (P1), recognition and feature extraction (P2), and segmentation for long-term memory conversion (P6). In the decision-making stage, chunk memory processes were encoded by four ERP components. Scene processing correlated with P1, followed by feature extraction facilitated by P2, encoding process (P4), and segmentation process (P6). This paper identifies the early process of chunk memory through implicit learning and applies univariate and multivariate approaches to establish the neural activity patterns of the early chunk memory process, which provides ideas for subsequent related studies.http://www.sciencedirect.com/science/article/pii/S0361923025000206ElectroencephalographyVisual statistical learningChunk memoryMachine learning |
| spellingShingle | Chantat Leong Fei Gao Zhen Yuan Neural decoding reveals dynamic patterns of visual chunk memory processes Brain Research Bulletin Electroencephalography Visual statistical learning Chunk memory Machine learning |
| title | Neural decoding reveals dynamic patterns of visual chunk memory processes |
| title_full | Neural decoding reveals dynamic patterns of visual chunk memory processes |
| title_fullStr | Neural decoding reveals dynamic patterns of visual chunk memory processes |
| title_full_unstemmed | Neural decoding reveals dynamic patterns of visual chunk memory processes |
| title_short | Neural decoding reveals dynamic patterns of visual chunk memory processes |
| title_sort | neural decoding reveals dynamic patterns of visual chunk memory processes |
| topic | Electroencephalography Visual statistical learning Chunk memory Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S0361923025000206 |
| work_keys_str_mv | AT chantatleong neuraldecodingrevealsdynamicpatternsofvisualchunkmemoryprocesses AT feigao neuraldecodingrevealsdynamicpatternsofvisualchunkmemoryprocesses AT zhenyuan neuraldecodingrevealsdynamicpatternsofvisualchunkmemoryprocesses |