VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data
Figure 4
Comparison of asymmetric utility and asymmetric learning rate.
This figure summarizes the analysis of choice and value data using models that assume asymmetric utility, asymmetric learning rate, both asymmetries or none. Upper left: Trial-by-trial feedback history (either negative, neutral or positive). Grey neutral feedbacks correspond to ‘no-go’ choices. Upper right: Trial-by-trial dynamics of true value (red), measured value (black) and agent's binary go(1)/no-go(0) choices (black dots). Middle-left: posterior probability of the four models given simulated choice data. Middle-right: same format, given value data. Lower left: family posterior probabilities for both model spaces partitions, given choice data (left: family ‘yes’ = {‘utility’, ‘both’} vs family ‘no’ = {‘learning’, ‘none’}, right: family ‘yes’ = {‘learning’, ‘both’} vs family ‘no’ = {‘utility’, none’}. Lower left: same format, given value data.