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. 2004 Jul;87(1):276–294. doi: 10.1529/biophysj.103.036632

TABLE 4.

Simulated 2D data, parameter estimation

2D-II,10-40
2D-II,10-90
2D-I,10-40
2D-I,3-700
Simulation Parameters Average ± SE Simulation Parameters Average ± SE Simulation Parameters Average ± SE Simulation Parameters Average ± SE
α 333 381 ± 33 333 373 ± 53 164 149 ± 12 399 385 ± 64
β 3000 3539 ± 133 3000 3380 ± 127 2977 2971 ± 194 3336 3494 ± 164
Kf1 389.2 607 ± 89 389.2 532 ± 107 1016 1109 ± 87 25.32 47 ± 18
Kr1 61.08 85 ± 19 61.08 76 ± 13 2.99 2.93 ± 0.40 0.1014 0.094 ± 0.018
Kf2 496.8 547 ± 43 183.3 203 ± 20 26.5 31.9 ± 6.8 224.7 242 ± 33
Kr2 3.005 2.62 ± 0.24 1.109 1.1 ± 36 61.0 121 ± 50 185.5 201 ± 28
τD1 9.65 ms 10.6 ms 9.75 ms 2.63 ms
%D1 53.6% 42.2% 53.9% 53.9%
τD2 38.8 ms 89.2 ms 39.0 ms 722 ms
%D2 39.6% 53.4% 39.4% 42.8%

For each model, 10 data sets are generated using the simulation parameters. For all data sets, 100 channels are simulated per set and 100 points selected evenly along the path of desensitization (tsf = 1). No Gaussian noise is added. 2D-II,10-40; 2D-II,10-90; and 2D-I,10-40: 300-ms duration, 0.1 ms per point. 2D-I,3-700: 3-s duration, 0.25 ms per point. Averages determined by fitting all 10 data sets to the correct model by CVF. Desensitization parameters are determined by fitting the smooth curve (generated using simulation parameters) to a double exponential equation by sum-of-squares minimization.