Table 2.

Quantification of the goodness of fit between the stimulus-to-neural (ODE) models and the experimental firing dynamics of the OSN stimulated by the linear and nonlinear ramps

DOI: http://dx.doi.org/10.7554/eLife.06694.011

	Odor, IFF	Odor, IFF+IFB	Light, IFF
A Correlation coefficient (ρ)
Linear (4 s), low	0.982	0.985	0.954
Linear (4 s), med	0.994	0.994	0.980
Linear (4 s), high	0.986	0.995	0.983
Linear (4 s), slow	0.993	0.994	0.980
Linear (4 s), fast	0.983	0.979	0.970
Linear (8 s)	0.983	0.994	0.982
Quadratic	0.993	0.993	0.988
Exponential	0.990	0.984	0.965
Sigmoid	0.985	0.994	0.990
Asymptotic	0.990	0.994	0.972
B CV(RMSE)
Linear (4 s), low	0.143	0.121	0.225
Linear (4 s), med	0.112	0.097	0.174
Linear (4 s), high	0.159	0.093	0.184
Linear (4 s), slow	0.111	0.091	0.167
Linear (4 s), fast	0.173	0.179	0.229
Linear (8 s)	0.185	0.106	0.153
Quadratic	0.131	0.111	0.150
Exponential	0.155	0.226	0.237
Sigmoid	0.175	0.102	0.131
Asymptotic	0.124	0.080	0.193

(A) Pearson's correlation coefficient (ρ) computed for stimulus ramps listed in Figure 4—figure supplement 1. (B) Coefficient of variation (CV) of the root-mean-square error (RMSE).