Figure 9. A difference-of-Gaussians model of OFR spatial summation. a, A DoG model was fitted to the individual relationships between the change in eye position and stimulus size (blue dots) for each spatial frequency condition. A simple exponential decay function was fitted to the individual relationships between each change in eye position and the diameter of the central patch of mean luminance (red dots). Blue and red curves are best-fit functions, for Monkey Pe and for both rightward and leftward grating motions. Data are replotted from Figures 5 and 7. b, c, Best-fit σ(e,i) parameters of center (b) and surround (c) Gaussian functions are plotted against grating spatial frequency, respectively. For both parameters, grating directions are plotted independently, for each monkey, together with the grand average values (continuous lines). In c, the dashed line replots the exponential decay of σ(e) from b to allow direct comparison. d, The two sets of best-fit σ(e,i) parameters are plotted against each other. Broken lines are the theoretical linear relationships with a gain of 1 or 2. e, The gain g(e,i) parameters of both central and surround Gaussians are plotted against grating spatial frequency, with confidence intervals. Continuous lines are best-fit Gaussian functions for either g(e) or g(i). f, The ratio between excitatory and inhibitory gains (gi/ge), corresponding to the SSI computed above, is plotted against spatial frequency. g, Mean values of the best-fit τ parameter, as a function of spatial frequency. The insets illustrate best-fit functions for rightward motion (monkey Pe), replotted from a. In e–g, data are the mean (±SD) across monkeys and directions.