DDM posterior estimates and convergence for Model M2 with stimulus-locked ERP dataa
| Parameter | Mean | SD |
|---|---|---|
| Drift (v), Intercept | −2.004 | 0.057 |
| Drift (v), ERP | −0.049 | 0.010 |
| Drift (v), ERP HealthOwn | 0.000 | 0.005 |
| Drift (v), ERP HealthSimilar | −0.003 | 0.004 |
| Drift (v), ERP HealthDissimilar | 0.017 | 0.004 |
| Drift (v), ERP TasteOwn | 0.028 | 0.004 |
| Drift (v), ERP TasteSimilar | 0.023 | 0.004 |
| Drift (v), ERP TasteDissimilar | −0.001 | 0.004 |
| Drift (v), HealthOwn | 0.054 | 0.011 |
| Drift (v), HealthSimilar | 0.179 | 0.011 |
| Drift (v), HealthDissimilar | 0.672 | 0.011 |
| Drift (v), TasteOwn | 0.734 | 0.011 |
| Drift (v), TasteSimilar | 0.675 | 0.010 |
| Drift (v), TasteDissimilar | −0.006 | 0.010 |
| Barrier (a), Intercept | 2.000 | 0.043 |
| Barrier (a), Similar | 0.118 | 0.016 |
| Barrier (a), Dissimilar | 0.043 | 0.016 |
| Starting point (z) | 0.494 | 0.006 |
| NonDecisionTime | 0.360 | 0.025 |
| Convergence | ||
| R̂ | 1.0006 | 0.0010 |
↵aStatistics for parameter estimates reflect the mean ± SD of the N = 10,000 posterior samples of group-level parameters.