Table 1. Means and variances of the priors on perceptual parameters and initial values.

Priors on the parameters and initial values of the HGF perceptual model for continuous inputs. The continuous inputs here were the trial-by-trial scores that the participants received, normalized to the 0–1 range. Quantities estimated in the logarithmic space are denoted by log(). Prior mean and variance for ${\mu }_1^0$, as well as the prior mean for ${\sigma }_1^0$, ${\omega }_1$ and the precision of the input, ${\pi }_u^0$, were defined by the initial 20 input values. When providing prior values that depend on the first 20 input scores, we indicate the median across the total population of 60 participants. For the remaining quantities, the prior mean and variance were pre-defined according to the values indicated in the table.

	Prior mean	Prior variance
log($\kappa$)	log(1)	0
${\omega }_1$	log-variance of 1:20 input scores: −3.04	16
${\omega }_2$	–4	16
log(${\pi }_u^0$)	negative log-variance of 1:20 input scores: 3.04	4
${\mu }_1^0$	value of the first input score: 0.21	variance of 1:20 input scores: 0.05
log(${\sigma }_1^0$)	log-variance of 1:20 input scores: −3.04	1
${\mu }_2^0$	1	0
log(${\sigma }_2^0$)	log(0.01)	1
${\beta }_0$	individual mean of behavioral parameter	4
${\beta }_1$	0	4
${\beta }_2$	0	4