Table 1.
Parameters of the best-fitting IRT model
| Parameters | Parameter values |
| Parameters set a priori | |
| Orientation spacing Δθ | 15° |
| Spatial frequency spacing Δf | 0.5 octave |
| Maximum activation level Amax | 1 |
| Weight bounds wmin wmax | ±1 |
| Location-specific initial weights scaling factor winit | 0.127 |
| Location-independent initial weights scaling factor winitI | 0.254 |
| Activation function gain γ | 3.5 |
Location-specific orientation bandwidth 
|
30° |
Location-independent orientation bandwidth 
|
48° |
| Location-specific frequency bandwidth hf | 1 octave |
| Location-independent frequency bandwidth hfI | 1.6 octave |
| Radial kernel width hr | 2 dva |
| Parameters adjusted for the data | |
| Normalization constant k | 3e-6 |
| Scaling factor a | 0.167 |
| Location-specific internal noise 1 σ1 | 2.5e-7 |
| 3.5e-7 | |
| 2.5e-7 | |
| Location-specific internal noise 2, σ2 | 0.01 |
| 0.02 | |
| 0.01 | |
| Location-independent internal noise 1 σI1 | 3.5e-6 |
| Location-independent internal noise 2 σI2 | 0.15 |
| Decision noise σd | 0.01 |
| Learning rate η | 6e-4 |
Location specific internal noises are for the three transfer conditions: P, O, and OP. dva, degrees of visual angle.