Learning Reward Uncertainty in the Basal Ganglia
Fig 3
Comparison of the sum of weights in the Go and NoGo pathways in the AU model (vertical axis) with the standard deviation of rewards (horizontal axis) for different values of parameter β.
In all simulations in this figure, μr = 1 (so σr is equal to the coefficient of variation) and α = 0.1. For each value of σr the model was simulated 10 times for 300 iterations. For each simulation, the sum of G and N at the end of the simulation is displayed as a point on the figure.