Table 3.

Mean distance between the theoretical prediction in (4) and the mean curve we obtain from bootstrapping the observed angles (see Sect. A.3.3) for several sensorimotor errors that are obtained as convex combinations of the exponential quadratic error (1) and the Mexican hat (10). In particular, we consider sensorimotor errors of the form $\lambda f+(1-\lambda )g$, where $\lambda =0,0.25,0.5,0.75,1$, f is the exponential quadratic error with $b=0$ and $\beta =4$ (which are close to the values fitted for the participants) and g is the Mexican hat with $\sigma =4$. As expected, the mean distance diminishes as the weight of the exponential quadratic error increases.

$\lambda$	Mean distance	$\lambda$	Mean distance
0	11.68	0.75	6.04
0.25	10.78	1	5.02
0.5	8.75