Confirmation bias in human reinforcement learning: Evidence from counterfactual feedback processing
Fig 3
Dimensionality reduction with model comparison.
(A) Model space. The figure represents how the number of parameters (learning rates) are reduced moving from the ‘Full’ model to more simple ones. (B) Model comparison. The panel represents the posterior probability (PP) of the models, the calculation of which is based on the BIC, which penalisses model complexity. The dashed line represents random posterior probability (0.25). (C) Model parameters. The panel represents the learning rate for the best fitting model (i.e., the ‘Confirmation’) model. αCON: learning rate for positive obtained and negative forgone outcomes; αDIS: learning rate for negative obtained and positive forgone outcomes. ***P<0.001, two-tailed paired t-test.