Natural scene statistics predict how humans pool information across space in surface tilt estimation
Fig 7
Groundtruth tilt estimation error from the global model with fixed circular pooling.
Mean estimation error is plotted as a function of the diameter of pooling region. Mean estimation errors are computed across all tilts. The black dashed line indicates the mean estimation error for the local model; the local model does not pool local estimates and thus has a pooling diameter of 0º. The gray dashed line indicates the estimation error for a “local” model that computes the image cues from an area matched to that implicitly used by the best global model (see Discussion). Monte Carlo simulations on 1000 randomly sampled stimulus sets were used to obtain 95% confidence intervals on the mean estimation error (gray area). Data from Exp 1 and Exp 2 are shown in the left and right columns, respectively.