Resources masquerading as slots: Flexible allocation of visual working memory |
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| Affiliation: | 1. Department of Psychology, University of California, San Diego, United States;2. Department of Psychology, University of Illinois at Urbana-Champaign, United States;1. University of Zurich, Switzerland;2. University of Bristol, United Kingdom;3. University of Western Australia, Australia;1. Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA;2. Department of Biomedical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea;3. Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, Republic of Korea |
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| Abstract: | Whether the capacity of visual working memory is better characterized by an item-based or a resource-based account continues to be keenly debated. Here, we propose that visual working memory is a flexible resource that is sometimes deployed in a slot-like manner. We develop a computational model that can either encode all items in a memory set, or encode only a subset of those items. A fixed-capacity mnemonic resource is divided among the items in memory. When fewer items are encoded, they are each remembered with higher fidelity, but at the cost of having to rely on an explicit guessing process when probed about an item that is not in memory. We use the new model to test the prediction that participants will more often encode the entire set of items when the demands on memory are predictable. |
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| Keywords: | Visual working memory Mathematical modeling Hierarchical Bayesian models Change detection |
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