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. 2024 Jun 3;7(1):48. doi: 10.5334/joc.373

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Copyright: © 2024 The Author(s)

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.

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Fit of optimal learning curve and model comparison Experiment 1 — Fit of optimal model (top) and Model comparison (bottom) of various constraints on the exponential curve reveal that instructions boost the initial level of performance. Top. Mean response times (RT, points) and Expected RT (solid lines) of the B model. I+F: Instruction and feedback; F: feedback only. Bottom. BIC weights of all models for all participants. The models are indicated by which parameter was free to vary between F and I+F conditions. Participants are grouped according to a hierarchical clustering algorithm within the Mapping condition, for illustrative purposes. The colors represent the BIC weight.