Figure 6.

(A) Adjustments errors as a function of the orientation difference between the previous and current object in Experiment 2. The DoG curves are fitted to the aggregate group data. The thin solid lines show the raw data and the shaded areas denote the 95th percentile of the bootstrapping results. The thick dashed lines indicate the fitted DoG curves. Red and blue colors indicate fronto-parallel and in-depth rotation, respectively. (B) The amplitude of the DoG curves for the three object transition conditions. Error bars denote the 95th percentile of the bootstrapping results. n.s.: not significant. (C) Amplitude of DoG curves as a function of response scatter (i.e. standard error of adjustment errors) of each individual observer for different rotation types. Each point corresponds to data from one rotation type for individual observers. Red and blue data points represent the frontoparallel and in-depth rotation conditions, respectively and the red and the blue lines are the best fitting linear models.