Figure 6: Uncertainty effect.
To determine whether our model can explain an uncertainty effect, we simulated an experiment in which the model adapts to a 30° visual rotation for 50 trials with an observation noise, that is, et=pt−xt+ξt, where ξt is a Gaussian random noise with a mean of 0 and a variance of 
. When σG is large, uncertainty is large for the observation of the movement error. (a) Trial-by-trial change of xt averaged across 100 simulations. (b) Adaptation rate after fitting a state-space model xt+1=Axt−Bet to the simulated xt shown in a, where A is a forgetting rate and B is an adaptation rate. (c) Previously reported adaptation rate (reproduced from Wei and Körding4).
