TABLE 1.
Simulated 1D data, parameter estimation
| 1D-I
|
|||||
|---|---|---|---|---|---|
| Average ± SE
|
1D-0
|
||||
| Simulation Parameters | CVF | wSS | Simulation Parameters | Average ± SE | |
| α | 333 | 340 ± 10 | 453 ± 26 | 429.8 | 375 ± 35 |
| β | 3000 | 3177 ± 46 | 3504 ± 61 | 3062 | 3160 ± 137 |
| Kf | 314.8 | 334 ± 11 | 315 ± 17 | 35.52 | 36.8 ± 1.7 |
| Kr | 1.85 | 1.81 ± 0.06 | 1.84 ± 0.06 | 1.91 | 2.27 ± 0.18 |
| τ Desensitization | 32.6 ms | 30.3 ms | |||
| % Desensitization | 94.0% | 94.3% | |||
Simulation parameters are used to generate each data set. For both models: 100 channels are simulated per set, 300 ms duration, 0.1 ms/point, and 100 points selected evenly along the path of desensitization (tsf = 1, see Methods). No Gaussian noise is added. Averages determined by fitting each data set to the correct model using either CVF or by variance-weighted sum-of-squares minimization (wSS). 1D-I: average of 80 data sets, 1D-0: average of 10 data sets. Desensitization parameters are determined by fitting the smooth curve (generated using the simulation parameters) to a single exponential equation by sum-of-squares minimization.