Table 2. Prior mean and variance of the perceptual and response model parameters.
Model | Prior mean | Prior variance | |
---|---|---|---|
Perceptual models: | |||
Three-level HGF | , | 0.5 | 1 |
, | 0.55 | 1 | |
Normative HGF | , | 0.5 | 0 |
, | 0.55 | 0 | |
Two-level HGF | , | 0.00062 | 0 |
Response models: | |||
0 | 4 | ||
48 | 1 | ||
6.21 | 4 | ||
1.50 | 100 | ||
1. Arbitrated | 0 | 25 | |
2. Advice Only | Inf | 0 | |
3. Card Only | 0 | 0 |
Note: The prior variances are given in the numeric space in which parameters are estimated. , , and are estimated in logit-space, while the other parameters are estimated in log-space. Although the prior variances for all parameters are set to be rather broad, we selected a shrinkage prior mean and variance for the decision noise parameter such that behavior is explained more by variations in the remaining parameters rather than decision noise.