Table 1.

Statistical table

Data structureType of testPower
If cell is responsive to an odorFitted data, non-normalKolmogorov–Smirnov testp < 0.005
ROC analysis CIFitted data, normalt testp = 0.63
ROC analysis CTFitted data, normalt testp = 0.08
ROC analysis +/–ΔCtFitted data, normalt testp < 0.001
Spike count contrast enhancement for +/–ΔCtFitted data, non-normalWilcoxon signed-rank testp = 7.57e-5 for +ΔCt responsesp = 8.64e-5 for –ΔCt responses
Spike count contrast enhancement for CTFitted data, non-normalWilcoxon signed-rank testp = 0.20
Spike count contrast enhancement for CIFitted data, non-normalWilcoxon signed-rank testp = 0.18
Peak amplitude contrast enhancement for +/–ΔCtFitted data, non-normalWilcoxon signed-rank testp = 2.41e-6 for +ΔCt responsesp = 2.08e-8 for –ΔCt responses
Peak amplitude contrast enhancement for CTFitted data, non-normalWilcoxon signed-rank testp = 0.97
Peak amplitude contrast enhancement for CIFitted data, non-normalWilcoxon signed-rank testp = 0.21
ΔCt sensitivity is step magnitude dependentNormal distributiont test1.25-fold change: p = 0.72;1.5-fold change: p < 0.01;2-fold change: p < 0.01
ΔCt sensitivity is step duration independentNormal distributionWilcoxon testFor spike count p = 0.08;for peak amplitude p = 0.12