Chunking improves symbolic sequence processing and relies on working memory 
gating mechanisms

Solopchuk, O; Alamia, A; Olivier, E; Zénon, A

doi:10.1101/lm.041277.115

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Chunking improves symbolic sequence processing and relies on working memory gating mechanisms

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Solopchuk, O., Alamia, A., Olivier, E., & Zénon, A. (2016). Chunking improves symbolic sequence processing and relies on working memory gating mechanisms. Learning & memory, 23(3), 108-112. doi:10.1101/lm.041277.115.

Cite as: https://hdl.handle.net/21.11116/0000-0009-FE0D-C

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.