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. Author manuscript; available in PMC: 2024 Apr 1.
Published in final edited form as: Nat Hum Behav. 2023 Jul 4;7(10):1638–1651. doi: 10.1038/s41562-023-01602-z

Fig. 7 |. The Perceptual Summation model predicts ensemble memory for colour with set size manipulation.

Fig. 7 |

a,b, Graphical representations of the TCC models’ fit and prediction of the data in Experiment 1. In this experiment, the participants had to remember the colours of simultaneously presented circles, and the number of colours was manipulated in the working memory and ensemble tasks. Panel a shows the fits of the TCC model for individual items to aggregate data from the visual working memory task for six and eight items. Estimates of d from the visual working memory task were substituted into the TCC Perceptual Summation (blue), Post-perceptual (red) and Automatic Averaging (green) models to predict the ensemble data. Panel b shows model predictions for a few example participants (P1 through P4). We visually show the fits of the TCC model for individual items to the visual working memory data to demonstrate that it provides a reasonable fit to the data (for an extended model comparison between this model and other contending models for individual items based on fit and predictive accuracy, see Schurgin et al.35).