Table 2.
Model fitsa
| Model | −LL | BIC | Pseudo-R2 | α | αP | αN | βtraining |
|---|---|---|---|---|---|---|---|
| Training | |||||||
| Canonical | 181.857 (31.188) | 187.606 (32.174) | 0.292 (0.050) | 0.149 (0.026) | — | — | 0.232 (0.040) |
| Approach–avoidance | 172.272 (29.544) | 180.895 (31.023) | 0.327 (0.056) | — | 0.279 (0.048) | 0.065 (0.011) | 0.214 (0.037) |
| Random choice | 240.767 (22.860) | 240.767 (22.860) | — | — | — | — | — |
| Testing | βtest | ||||||
| Canonical | 74.0520 (3.9488) | 76.4234 (3.9500) | 0.0723 (0.0474) | — | — | — | 0.911 (0.029) |
| Approach–avoidance | 69.8957 (3.7446) | 72.2671 (3.7443) | 0.1194 (0.0479) | — | — | — | 0.878 (0.032) |
| Random choice | 240.767 (22.860) | 240.767 (22.860) | — | — | — | — | — |
aData are mean (SEM). LL, Log-likelihood; BIC, Bayes Information Criterion; α, learning rate for the Canonical model; αP and αN, learning rates for positive and negative outcomes, respectively, for the approach–avoidance model; βtraining and βtest, exploration–exploitation parameters for the training and test sessions, respectively.