A quantitative model of ensemble perception as summed activation in feature space
Maria M. Robinson () and
Timothy F. Brady ()
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Maria M. Robinson: University of California, San Diego
Timothy F. Brady: University of California, San Diego
Nature Human Behaviour, 2023, vol. 7, issue 10, 1638-1651
Abstract:
Abstract Ensemble perception is a process by which we summarize complex scenes. Despite the importance of ensemble perception to everyday cognition, there are few computational models that provide a formal account of this process. Here we develop and test a model in which ensemble representations reflect the global sum of activation signals across all individual items. We leverage this set of minimal assumptions to formally connect a model of memory for individual items to ensembles. We compare our ensemble model against a set of alternative models in five experiments. Our approach uses performance on a visual memory task for individual items to generate zero-free-parameter predictions of interindividual and intraindividual differences in performance on an ensemble continuous-report task. Our top-down modelling approach formally unifies models of memory for individual items and ensembles and opens a venue for building and comparing models of distinct memory processes and representations.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:nat:nathum:v:7:y:2023:i:10:d:10.1038_s41562-023-01602-z
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DOI: 10.1038/s41562-023-01602-z
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