Table 1.
Parameters of the best-fitting model and results of nested model tests (probability correct in detecting the target interval and location). Notes: NE = external noise exclusion; SE = stimulus enhancement; βmax = maximum gain of template; βσ = bandwidth of template; γ = exponent of the nonlinear transducer function; σa = additive noise; σm = multiplicative noise.
| Observer | Model | βmax | βσ (°) | γ | σm | σa | Af (1) | Afσ (1) | Aa (1) | r 2 | F | p |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| All | NE + SE | 8.36 | 14.09 | 1.06 | 0.0005 | 0.6947 | 0.97 | 1.00 | 1.00 | 0.9810 | — | — |
| NE | 8.36 | 14.09 | 1.06 | 0.0005 | 0.6947 | 0.97 | 1.00 | — | 0.9810 | 0.00 | 0.986 | |
| SE | 8.42 | 14.00 | 1.06 | 0.0004 | 0.6993 | — | — | 1.00 | 0.9809 | 0.19 | 0.827 | |
| No attention | 7.84 | 14.07 | 1.06 | 0.0000 | 0.6510 | — | — | — | 0.9809 | 0.13 | 0.943 | |
| BH | NE + SE | 6.34 | 10.99 | 1.00 | 0.0009 | 0.4505 | 1.00 | 1.00 | 1.00 | 0.9714 | — | — |
| NE | 6.33 | 10.99 | 1.00 | 0.0009 | 0.4498 | 1.00 | 1.00 | — | 0.9714 | 0.01 | 0.935 | |
| SE | 6.34 | 11.01 | 1.00 | 0.0009 | 0.4493 | — | — | 1.00 | 0.9714 | 0.00 | 0.998 | |
| No attention | 6.30 | 10.99 | 1.00 | 0.0002 | 0.4476 | — | — | — | 0.9714 | 0.01 | 0.998 | |
| JB | NE + SE | 2.90 | 15.25 | 1.36 | 0.0000 | 0.2423 | 0.87 | 1.00 | 1.00 | 0.9516 | — | — |
| NE | 2.90 | 15.25 | 1.36 | 0.0000 | 0.2423 | 0.87 | 1.00 | — | 0.9516 | 0.00 | 1.000 | |
| SE | 2.77 | 14.71 | 1.32 | 0.0000 | 0.2363 | — | — | 1.00 | 0.9468 | 2.53 | 0.089 | |
| No attention | 2.77 | 14.71 | 1.32 | 0.0000 | 0.2363 | — | — | — | 0.9468 | 1.69 | 0.181 | |
| KL | NE + SE | 5.94 | 15.09 | 1.00 | 0.0007 | 0.5007 | 1.00 | 1.00 | 1.00 | 0.9713 | — | — |
| NE | 5.25 | 14.90 | 1.00 | 0.0009 | 0.4463 | 1.00 | 1.00 | — | 0.9712 | 0.26 | 0.615 | |
| SE | 5.94 | 15.09 | 1.00 | 0.0007 | 0.5007 | — | — | 1.00 | 0.9713 | 0.00 | 1.000 | |
| No attention | 5.54 | 14.39 | 1.00 | 0.0089 | 0.4748 | 1.00 | 1.00 | 1.00 | 0.9712 | 0.04 | 0.989 |