TABLE 7.

GABAR and simulated COO data, parameter estimation

	GABAR		COO
	Average ± SE	Central four Average ± SE	Simulation Parameters	Average ± SE	Central six Average ± SE
N			200	208 ± 18	192 ± 5
α1	299 ± 110	267 ± 112	183.5	266 ± 75	209 ± 32
β1	5524 ± 979	5161 ± 579	5202	5432 ± 299	5561 ± 122
α2	87.0 ± 73	17.63 ± 9.72	9.998	31.0 ± 14.4	16.0 ± 3.4
β2	40.7 ± 16.0	32.2 ± 12.7	41.6	42.4 ± 4.8	43.8 ± 2.8
Kf1	1026 ± 538	652 ± 288	864.5	910 ± 341	606 ± 114
Kr1	0.126 ± 0.043	0.115 ± 0.031	0.1927	0.179 ± 0.035	0.169 ± 0.021
Kf2	129 ± 11	133 ± 8	140.6	159 ± 13	152 ± 5
Kr2	116 ± 24	118 ± 12	188.9	213 ± 22	211 ± 16
Kf3	5087 ± 3470	2049 ± 488	1496	1722 ± 179	1745 ± 143
Kr3	1157 ± 325	1154 ± 269	799.5	749 ± 182	605 ± 92
τD1			2.84 ms
%D1			51.2%
τD2			27.2 ms
%D2			25.0%
τD3			725 ms
%D3			20.3%

Simulation parameters are used to generate 10 COO data sets, 3 s in duration, 0.25 ms per point, 200 channels per set. For the six GABAR traces and the 10 COO data sets, 200 points are selected along the path of desensitization favoring the earlier phases (tsf = 3). Gaussian noise (σ = 0.564 channels) is added to each point of the COO data sets. All 16 data sets are fit to COO using CVF allowing the number of channels to vary as a free parameter. Central four and Central six averages are the results of excluding the highest and lowest one or two values for each parameter, respectively. Results of fitting GABAR sets are used to create the consensus model shown in Fig. 8. Desensitization parameters are determined by fitting the smooth curve (generated using simulation parameters) to a three-component exponential equation by sum-of-squares minimization.