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. Author manuscript; available in PMC: 2014 Jan 1.
Published in final edited form as: Nat Neurosci. 2013 May 19;16(7):974–981. doi: 10.1038/nn.3402

Figure 6.

Figure 6

Crowdsourced psychophysical estimates of sensitivity for hundreds of texture families. (a) Example psychometric functions for two texture families (same as Fig. 4c and 5c), each based on observers recruited from Amazon.com's Mechanical Turk performing a 3AFC task in a web browser. Each colored line corresponds to one observer. The black line indicates the best-fitting psychometric function, estimated using a mixture model that re-weighted observers based on their reliability (see Supplementary Analysis); thickness of the colored lines indicates the weight assigned to each observer. Chance performance is 1/3. (b) Perceptual sensitivity (1/threshold) was significantly correlated when measured in the laboratory (abscissa) and in the crowd (ordinate). Dashed line is the line of equality. (c) The distribution of perceptual sensitivities across 494 texture families was used to pick 20 families spanning the range of sensitivities, emphasizing the extremes (light gray regions). (d) Correlations between single-unit modulation and sensitivity (measured in the crowd) for the chosen families, in V1 (green) and V2 (blue). Only 17 of the 20 families were included due to experimental time constraints. (e) Correlations between fMRI modulation and sensitivity. All 20 families were included. Same format as panel d.