TABLE I.
Prediction Error Residuals for the First- and Second-order Kernels and Linear and Nonlinear Parametric Models (% MSPEs)
Model fitted | fu + fg | fu + fg + fuu + fug + fgg | Eq. 6 | Eqs. 6 and 7 |
---|---|---|---|---|
Stimulus Type I | ||||
Vertical, n = 18 | ||||
Linear cells | 9.7, n = 18 | – | 11.2, n = 18 | – |
Nonlinear cells | – | – | – | – |
Horizontal, n = 25 | ||||
Linear cells | 7.8, n = 25 | – | 12.1, n = 25 | – |
Nonlinear cells | – | – | – | – |
Stimulus Type II | ||||
Vertical, n = 16 | ||||
Linear cells | 2.5, n = 12 | – | 14.2, n = 12 | – |
Nonlinear cells | 18.0, n = 4 | 11.7, n = 4 | 19.1, n = 4 | 15.8, n = 4 |
Horizontal, n = 32 | ||||
Linear cells | 13.5, n = 3 | – | 15.4, n = 3 | – |
Nonlinear cells | 18.1, n = 29 | 12.9, n = 29 | 18.5, n = 29 | 15.7, n = 29 |
Control, n = 5 | ||||
Linear cells | – | – | – | – |
Nonlinear cells | 21.2, n = 5 | 12.7, n = 5 | 22.6, n = 5 | 13.9, n = 5 |
Hot, n = 5 | ||||
Linear cells | – | – | – | – |
Nonlinear cells | 13.0, n = 5 | 7.1, n = 5 | 13.4, n = 5 | 9.7, n = 5 |