Mean relative AICs as a function of the tested models in Experiment 1.

<p>For each participant, the AIC of the best-performing model has been subtracted from the AIC for every model, before averaging across participants. Error bars indicate the standard error of the mean. The response-based updating rules are mapped onto the x-axis (RDF-based updating), while the dimension-based updating rules are indicated by different colors (TDD-based updating). The left-hand panel presents the results for the DDM, the right-hand panel for the LATER model. Only models with a non-decision time component are included in the figure. Models without a non-decision time component generally performed worse, and the best-fitting model included a non-decision time component (see also Table A in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006328#pcbi.1006328.s004" target="_blank">S4 Text</a>).