Structure Learning in Bayesian Sensorimotor Integration
Fig 10
The plots show the simulation results as medians over six different simulation runs. Blue lines show the medians over six runs where the model was trained with correlated full feedback trials. Pink lines show the medians over six run where the model was trained with uncorrelated full feedback trials. A Median for evolution of horizontal slope in partial sv-feedback trials—compare Fig 9A which shows the participants’ results. B Median for evolution of vertical slope in partial sh-feedback trials—compare Fig 9B which shows the participants’ results. C Median for evolution of horizontal mean-response in no feedback trials—compare Fig 7 and Supplementary S2E Fig which shows the participants’ results. D Median for evolution of vertical mean-response in no feedback trials—compare Fig 7 and Supplementary S2F Fig which shows the participants’ results. The parameters of the model (strength of the initial belief over mean-shift and covariance matrix) were chosen in order to minimize the sum-of-squared-differences between the correlated simulation median and the median obtained from participants from the correlated group. The uncorrelated simulation run used the same set of parameters.