Tracking The Summary Statistics In Long-Term Memory

Loading...
Thumbnail Image
Degree type
Doctor of Philosophy (PhD)
Graduate group
Psychology
Discipline
Subject
Other Psychology
Psychology
Funder
Grant number
License
Copyright date
2022-09-17T20:22:00-07:00
Distributor
Related resources
Author
Zeng, Haiyun
Contributor
Abstract

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.

Advisor
Sharon L. Thompson-Schill
John C. Trueswell
Date of degree
2022-01-01
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Recommended citation