The value of confidence: Confidence prediction errors drive value-based learning in the absence of external feedback
Fig 4
Models were compared by means of the Akaike information criterion (AIC). Each value represents the average AIC of a model across participants (± SEM). The number in parentheses indicates the number of model parameters.