Fig. 7: Contrast enhancement in a large network model with inputs generated from chemical gas sensor data (Gas Sensor Array Drift Dataset from ref. 45).
From: Plasticity in inhibitory networks improves pattern separation in early olfactory processing
A The features extracted from the response curves are converted into a pulse that is then fed into the larger biophysical network model as an input. B Correlation between (left set of plots, p = 7.4e−18) and within classes (right set of plots, p = 1.6e−17) decreases after differential conditioning (dark blue) compared to naive (light blue). The error bars represent standard deviation across n = 10 trials. Dots represent individual data points. C Contrast enhancement analysis for the large biophysical network model using chemical gas sensor data revealed similar results to the smaller biophysical network model and in vivo data (R2 = 0.416, p = 0.007) (compare to Fig. 5D).
