Table 2. Summary of Decision Bound Models.
Parameters | Parameter Description | |
---|---|---|
Rule-Based | ||
Spatial Frequency | 1 | Frequency, Criterial Noise |
Spatial Orientation | 2 | Orientation, Criterial Noise |
Conjunctive A | 3 | Frequency, Orientation, Criterial Noise |
Conjunctive B | 3 | Frequency, Orientation, Criterial Noise |
Optimal Model for Rule-Based Task | 1 | Criterial Noise |
Information-Integration | ||
General Linear Classifier | 1 | Criterial Noise |
Optimal Model for Information- Integration Task |
3 | Criteral Noise, Slope, y-intercept |
Random Responder | 1 | Probability of responding ‘1’ |