Fig. 5: SF bandwidth as a function of preferred SF (fo).
a The scatter plot compares fo to SF bandwidth in three ROIs, each indicated by a different symbol. See Table 2 for joint statistics. The five data points at the extreme left of the x-axis were low pass. Blue line is the scale invariance prediction of bandwidth, fo/2. Green line is the model of pooled scale invariance (Eq. (7)). To the left of the y-axis are SF tuning curves (black dots) and fits (gray) of four example cells in one ROI outlined and enumerated in e. b Distribution of the measured SF bandwidth (black) and the scale invariance prediction of SF bandwidth (blue). c Simulation of the pooling model in the spectral domain, at fo = 2 cyc/°. At the bottom are the 1D Gaussian functions from the model of scale invariance. They are shifted (cyc/°) and weighted according to the Gaussian in the pooling model (σh(f) = 0.85 cyc/°). The superposition of the scale invariant Gaussians yields the function on top, which is the output of the pooling model. d Predicted maps of SF bandwidth. Bottom and top panels are generated by plugging fo in to the scale invariance and pooled scale invariance model, respectively. e Map of measured SF bandwidth. f Pearson correlation coefficient between neural pairs, within 75 μm cortical distance bins, using all three ROIs in the study. The symbol at each distance bin indicates the correlation coefficient’s significance: Closed dot is p > 0.01, asterisk is p < 0.01, asterisk and open circle is p < 0.001.
