Table 1.

Best-fitting parameters of the Diffusion Model for Conflict tasks (DMC) (Ulrich et al., 2015) to the experimental data of the two motor processing demand conditions within each experiment as well as weighted root-mean-square-errors (RMSE) averaged across participants

	Experiment 1		Experiment 2
	Low	High	Low	High
DMC best-fitting parameters
Amplitude $\mathit{A}$ of distractor process	29.8 (2.6)	19.9 (19.7)	37 (4.0)	25 (2.5)
Peak (ms) $\tau$ of distractor process	213 (20)	230 (28)	261 (20)	278 (23)
Decision boundary $\mathit{b}$	189 (6)	188 (7)	198 (8)	188 (7)
Drift rate ${\mu }_c$ of target process	0.66 (0.04)	0.46 (0.02)	0.61 (0.03)	0.56 (0.03)
Mean residual time (ms) ${\mu }_R$	659 (19)	786 (24)	613 (18)	729 (22)
Variability residual time (ms) ${\sigma }_R$	30 (4)	53 (6)	25 (4)	32 (7)
Shape ${\alpha }_s$ of starting point distribution	3.87 (0.02)	3.82 (0.04)	3.77 (0.05)	3.75 (0.06)
Goodness-of-fit (RMSE)	16.60 (1.95)	33.72 (4.54)	16.73 (2.14)	27.64 (4.68)

Standard Error (SE) of means in parentheses. Following (Ulrich et al., 2015), the step size was t = 1 ms, the diffusion constant was fixed at $\sigma$ =4, and the shape parameter of the distractor process was fixed at $\mathit{a}$ = 2