Table 1.

List of parameters with accompanying priors and constraints used in the model-based analysis.

Model	Parameters	Priors	Constraints	Fit value ± SEM
Bayes const h	β	Gamma(2,2)	0 ≤ β ≤ ∞	6.49 ± 0.36
	h	Beta(1,1)	0 ≤ h ≤ 1	0.153 ± 0.009
	ρh	Beta(12,4)	0.5 ≤ ρh ≤ 1	0.500 ± 0.0004
	ρl	Beta(4,12)	0.2 ≤ ρh ≤ 0.5	0.2 ± 8 × 10−8
Bayes var h	β	Gamma(2,2)	0 ≤ β ≤ ∞	3.59 ± 0.13
	ρh	Beta(12,4)	0.5 ≤ ρh ≤ 1	0.526 ± 0.009
	ρl	Beta(4,12)	0.2 ≤ ρh ≤ 0.5	0.2 ± 3 × 10−8
SA full	β	Gamma(2,2)	0 ≤ β ≤ ∞	1.34 ± 0.07
	h	Beta(1,1)	0 ≤ h ≤ 1	0.38 ± 0.03
	ε	Beta(1,1)	0 ≤ ε ≤ 1	0.052 ± 0.007
	þ	Uniform(−20,0)	−20 ≤ þeta ≤ 0	−3.29 ± 0.03
SA WSLS	ε	Beta(1,1)	0 ≤ ε ≤ 1	0.143 ± 0.014
	gwin	Beta(1,1)	0 ≤ gwin ≤ 1	0.010 ± 0.002
	glose	Beta(1,1)	0 ≤ glose ≤ 1	0.27 ± 0.02
SA rand	ε	Beta(1,1)	0 ≤ ε ≤ 1	0.064 ± 0.009
	g	Beta(1,1)	0 ≤ g ≤ 1	0.169 ± 0.007

In the rightmost column are the estimates of these parameters, as fit to all subjects in the experiment (mean and SEM).