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. Author manuscript; available in PMC: 2013 Sep 19.
Published in final edited form as: J Vis. 2006 Oct 13;6(11):1159–1171. doi: 10.1167/6.11.2

Figure 5.

Figure 5

Examples of multiple-mechanism models. The colored curves show spatial summation functions for individual spatial mechanisms. The inset shows the peak sensitivity for each of the five spatial mechanisms used in each figure. The filled circles represent psychophysical spatial summation, which is the probabilistic sum of the five underlying spatial mechanisms and is fit with the empirical template. A short blue line in the bottom panel marks complete summation for a mechanism tuned to low spatial frequencies, which is revealed due to reduction in sensitivity of mechanisms tuned to higher spatial frequencies. This example shows results for mechanisms whose filter-elements have identical phase (cosine), spatial bandwidth (1.0 octave), and orientation tuning and vary only in peak spatial frequency (0.20, 0.45, 0.65, 0.9, and 1.25 cpd) and relative sensitivity (insets).