Extended Data Fig. 3: Single-neuron receptive fields estimated using reduced-rank regression and Gabor models.
From: High-dimensional geometry of population responses in visual cortex

a, The receptive fields of 159 randomly chosen neurons, estimated using reduced-rank regression. The receptive field map is z-scored for each neuron. b, An example Gabor fit to a single cell. c–h, Histograms showing the distribution of model parameters across cells. Each colour represents cells from one recording. i–n, Histograms showing the distribution of model parameters across cells when the model also has divisive normalization. o–u, Eigenspectra of Gabor population model responses to the different stimulus sets, as labelled. The unnormalized Gabors are shown in magenta, and the model with divisive normalization in black.