Input nonlinearity (
a) and filter (
b) fit to ab2 LFP responses to 2-butanone naturalistic stimulus. The input nonlinearity is a Hill function
where
S represents the input, and
KD the half maximum value). The nonparametric filter and parametric nonlinearity are fit simultaneously in an iterative manner (see Materials and methods). (
c) Comparison of ab2 LFP responses and NL model predictions. (
d) Linear filter extracted from the stimulus and the NL model prediction. Note that the filter is not the same as in (
b); a filter extracted from an NL model is not guaranteed to be an unbiased estimate of the true one. (
e) NL model responses vs. naturalistic stimulus projected through filter in (
d), showing that the NL model shows deviations from linearity similar to what is observed in the data (cf.
Figure 1c). (
f–g) Context dependence of response in the ab2 data and model. (
f) ab2 LFP responses to whiffs of similar size (same data as in
Figure 1h). Note that the responses to isolated whiffs (purple, yellow) are
larger than the responses to repeated whiffs (red, blue). (
g) NL model responses to these whiffs. Note that the responses to isolated whiffs (purple, yellow) are
smaller than the responses to repeated whiffs (red, blue), the opposite of the trend visible in the data.