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Tracking The Summary Statistics In Long-Term Memory
by Haiyun Zeng
| Institution: | University of Pennsylvania |
|---|---|
| Department: | |
| Degree: | PhD |
| Year: | 2022 |
| Keywords: | Other Psychology; Psychology |
| Posted: | 3/25/2025 |
| Record ID: | 2302198 |
| Full text PDF: | https://repository.upenn.edu/handle/20.500.14332/31772 |
Decades of research have demonstrated humans’ extraordinary ability to extract summary statistics across individual experiences. Less is known about how exactly the items contribute to the summary statistics and how the relationship between memory for the items and memory for the summary statistics evolves and changes over time. I propose that memory of summary statistics that are initially extracted from individual instances starts to guide memory for individual items over time, and not all items contribute to the summary statistics equally. Sources of item distinctiveness influence the summary statistics extraction in terms of the contribution of each item and the accuracy of summary statistics. The three empirical chapters enlighten our understanding of summary statistics extraction in long-term memory by bridging fields ranging from perception and memory to emotion and motivation.
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