Table 4. LMM statistics of learning effects on FRN.
| Peak-to-Peak FRN amplitude | |||||
|---|---|---|---|---|---|
| Predictors | Estimates | SE | CI | t | p |
| Intercept | −12.67 | 0.49 | −13.62 – −11.71 | −26.03 | 2.322e-149 |
| Confidence | −0.19 | 0.15 | −0.49–0.11 | −1.25 | 2.126e-01 |
| Reward prediction error | 1.43 | 0.41 | 0.62–2.24 | 3.47 | 5.302e-04 |
| Sensory prediction error | −0.67 | 0.42 | −1.49–0.15 | −1.61 | 1.078e-01 |
| Error magnitude | 0.51 | 0.55 | −0.57–1.58 | 0.92 | 3.553e-01 |
| Block | −0.15 | 0.11 | −0.36–0.06 | −1.43 | 1.513e-01 |
| Random effects | Model Parameters | ||||
| Residuals | 27.69 | N vpn | 40 | ||
| Intercept | 9.23 | Observations | 9678 | ||
| Error magnitude | 2.24 | log-Likelihood | −29908.910 | ||
| Block | 0.22 | Deviance | 59817.821 | ||
Formula: FRN ~ Confidence + RPE+SPE + EM+Block + (EM +Block|participant).