Table 1.

Parameters of ODE model derived from the Simplex optimization procedure (‘Materials and methods’) applied on the OSN spiking activity elicited by light stimulation (pure IFF model—left column) and odor stimulation (pure IFF model—middle column; combined IFF+IFB model—right column)

DOI: http://dx.doi.org/10.7554/eLife.06694.010

	Light: IFF motif	Odor: pure IFF motif	Odor: IFF+IFB motifs
α1	0.1 (W m−2)−1 s−1	0.1 μM−1 s−1	0.13 μM−1 s−1
α2	0.88 s−1	0.6 s−1	0.26 s−1
α3	10−6 Hz−1 s−1	0* Hz−1 s−1	1.1 Hz−1 s−1
β1	1731.41 Hz s−1	1002.25 μM s−1	2903.36 μM s−1
β2	1.27 W m−2	8.63 μM	0.01 μM
β3	2.48 W m−2	2.39 μM	2.65 μM
β4	1214.08 Hz s−1	624.69 μM s−1	795.62 μM s−1
β5	13.03 s−1	6.44 s−1	23.79 s−1
θ	0.3 Hz	1.01 Hz	1.88 Hz
n	2	2	2

Parameters were obtained upon training of the model on 10 stereotyped stimulus ramps (see Figure 4—figure supplement 1) together with the naturalistic stimulation patterns shown in Figure 2D (odor) or Figure 6B (light). For light stimulation, the parameter of the IFB pathway (α₃) was negligible and considered equal to 0 in the rest of the study. For odor stimulation, parameter α₃ was artificially set to 0 in the case of the pure IFF motif. Note that the units of the intermediate variable u are undefined. We empirically found that the goodness of fit improved when the value of the offset β₄ undergoes a small correction over time. In all numerical simulations of this study, we used β₄(t) = (1.023 t⁴/(t⁴ + 30⁴)) × β₄. The Hill coefficient n was set equal to 2. In this table, all concentrations are given for odor stimulation in liquid phase. As described in the ‘Materials and methods’ section, the concentration equivalence in gaseous phase can be approximated by multiplying the liquid phase concentration by a factor ρ^{liquid → gas} = 26.73. The parameters listed in this table are used in all numerical simulations of the study, except the validation controls described in Figure 4—figure supplement 2.

^*parameter set artificially to 0.