Literaturnachweis - Detailanzeige
Autor/inn/en | Solopchuk, Oleg; Alamia, Andrea; Olivier, Etienne; Zénon, Alexandre |
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Titel | Chunking Improves Symbolic Sequence Processing and Relies on Working Memory Gating Mechanisms |
Quelle | In: Learning & Memory, 23 (2016) 3, S.108-112 (5 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1072-0502 |
DOI | 10.1101/lm.041277.115 |
Schlagwörter | Cognitive Processes; Short Term Memory; Sequential Learning; Symbolic Learning |
Abstract | Chunking, namely the grouping of sequence elements in clusters, is ubiquitous during sequence processing, but its impact on performance remains debated. Here, we found that participants who adopted a consistent chunking strategy during symbolic sequence learning showed a greater improvement of their performance and a larger decrease in cognitive workload over time. Stronger reliance on chunking was also associated with higher scores in a WM updating task, suggesting the contribution of WM gating mechanisms to sequence chunking. Altogether, these results indicate that chunking is a cost-saving strategy that enhances effectiveness of symbolic sequence learning. (As Provided). |
Anmerkungen | Cold Spring Harbor Laboratory Press. 500 Sunnyside Boulevard, Woodbury, NY 11797-2924. Tel: 800-843-4388; Tel: 516-367-8800; Fax: 516-422-4097; e-mail: cshpres@cshl.edu; Web site: http://www.learnmem.org/ |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |