Publication: Similarity-Based Compression in Working Memory: Implications for Decay and Refreshing Models
Similarity-Based Compression in Working Memory: Implications for Decay and Refreshing Models
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Kowialiewski, B., Lemaire, B., & Portrat, S. (2024). Similarity-Based Compression in Working Memory: Implications for Decay and Refreshing Models. Computational Brain & Behavior, 7, 163–180. https://doi.org/10.1007/s42113-023-00179-0
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The ability to compress information is a fundamental cognitive function. It allows working memory (WM) to overcome its severely limited capacity. Recent evidence suggests that the similarity between items can be used to compress information, leading to a rich pattern of behavioral results. This work presents a series of simulations showing that this rich pattern of WM performance is captured using the principles of TBRS*, a decay and refreshing architecture. By assuming that similar items are compressed, the architecture can explain t
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- Lemaire, Benoît
- Portrat, Sophie
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Kowialiewski, B., Lemaire, B., & Portrat, S. (2024). Similarity-Based Compression in Working Memory: Implications for Decay and Refreshing Models. Computational Brain & Behavior, 7, 163–180. https://doi.org/10.1007/s42113-023-00179-0
