Table 1.
M1 | M2 | M3 | M4 | M5 | M6a | M6b | M6c | |
---|---|---|---|---|---|---|---|---|
iBIC | 5613 | 5615 | 5379 | 5141 | 4926 | 4857 | 4947 | 4893 |
Feedback sensitivity (ρ) | 4.05 (2.49) | 4.67 (3.25) | 4.95 (3.04) | |||||
Reward sensitivity (ρ_rew) | 12.82 (22.27) | 6.78 (4.67) | 6.86 (4.35) | 7.85 (6.40) | 9.81 (8.84) | |||
Punishment sensitivity (ρ_pun) | 3.76 (2.83) | 4.81 (3.76) | 6.26 (5.67) | 4.77 (3.62) | 9.36 (10.23) | |||
Learning rate (ε) | 0.28 (0.18) | 0.29 (0.19) | 0.29 (0.19) | 0.29 (0.17) | 0.28 (0.15) | 0.23 (0.15) | 0.32 (0.13) | 0.27 (0.17) |
Irreducible noise (ξ) | 0.97 (0.02) | 0.94 (0.08) | 0.97 (0.02) | 0.97 (0.01) | 0.96 (0.03) | 0.99 (0.01) | 0.96 (0.03) | |
Go bias (b) | 0.38 (0.62) | 0.13 (0.85) | 0.50 (0.60) | 0.58 (0.61) | 0.49 (0.59) | 0.58 (0.63) | ||
Pavlovian bias (π) | 0.48 (0.77) | 0.77 (0.75) | 0.34 (0.64) | |||||
Effect of theta (β) | −0.67 (0.67) | 0.48 (0.73) | −0.32 (0.58) | |||||
Trade-off parameter (w) | 0.31 (0.14) |