Encoding higher-order structure in visual working memory: A probabilistic model
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BradyTenenbaum2010.pdf
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148.73 KB
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Author(s)
Brady, Timothy Francis
Tenenbaum, Joshua B
Date Issued
2010
Journal
32nd Annual Meeting of the Cognitive Science Society 2010
Publisher
Cognitive Science Society
Citation
Brady, Timothy F. and Tenenbaum, Joshua B. "Encoding higher-order structure in visual working memory: A probabilistic model." 32nd Annual Meeting of the Cognitive Science Society 2010, August 11-14 2010, Portland, Oregon, USA, Cognitive Science Society, 2010 © 2010 Cognitive Science Society
Version
Author's final manuscript
Abstract
When encoding a scene into memory, people store both theoverall gist of the scene and detailed information about a few specific objects. Moreover, they use the gist to guide their choice of which specific objects to remember. However, formal models of change detection, like those used to estimate visual working memory capacity, generally assume people represent no higher-order structure about the display and choose which items to encode at random. We present a probabilistic model of change detection that attempts to bridge this gap by formalizing the encoding of both specific items and higher-order information about simple working memory displays. We show that this model successfully predicts change detection performance for individual displays of patterned dots. More generally, we show that it is necessary for the model to encode higher-order structure in order to accurately predict human performance in the change detection task. This work thus confirms and formalizes the role of higher-order structure in visual working memory.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
http://toc.proceedings.com/09137webtoc.pdf
