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A rational theory of set size effects in working memory and attention

View ORCID ProfileRonald van den Berg, View ORCID ProfileWei Ji Ma
doi: https://doi.org/10.1101/151365
Ronald van den Berg
1Department of Psychology, University of Uppsala, Uppsala, Sweden.
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Wei Ji Ma
2Center for Neural Science and Department of Psychology, New York University, New York, USA
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Abstract

The precision with which items are encoded in working memory and attention decreases with the number of encoded items. Current theories typically account for this “set size effect” by postulating a hard constraint on the allocated amount of some kind of encoding resource, such as samples, spikes, slots, or bits. While these theories have produced models that are descriptively successful, they offer no principled explanation for the very existence of set size effects: given their detrimental consequences for behavioral performance, why have these effects not been weeded out by evolutionary pressure, for example by allocating resources proportionally to the number of encoded items? Here, we propose a theory that is based on an ecological notion of rationality: set size effects are the result of an optimal trade-off between behavioral performance and the neural costs associated with stimulus encoding. We derive models for four visual working memory and attention tasks and show that they account well for data from eleven previously published experiments. Our results suggest that set size effects have a rational basis and that ecological costs should be considered in models of human behavior.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted August 09, 2017.
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A rational theory of set size effects in working memory and attention
Ronald van den Berg, Wei Ji Ma
bioRxiv 151365; doi: https://doi.org/10.1101/151365
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A rational theory of set size effects in working memory and attention
Ronald van den Berg, Wei Ji Ma
bioRxiv 151365; doi: https://doi.org/10.1101/151365

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