Figure 5.

Same spatiotemporal filter predicts pursuit and perceptual reports of motion direction. We compared the predictive power of the actual spatial and temporal filters (red rectangles) and synthetic filters created by shifting (y-axes) and stretching (x-axes) the measured filter forms (top, side dotted lines, A). Each grayscale element in the density plots represents the linear correlation coefficient between predicted and measured eye direction or perceptual reports using a different filter shape; white indicates high and black low correlation. The elements outlined in red correspond to the best prediction, obtained in each case by the actual pursuit filter. A, Pursuit data for two human subjects (H1, H3). Data in left panels were generated by holding the temporal filter constant and manipulating the spatial filter; for right panels, the opposite was done. The pattern of near white values indicates the sensitivity of prediction quality to the shape of the filter. B, Perceptual data for the same subjects using the same filter set. As with pursuit, the actual spatial and temporal filters yield the best prediction of perceptual reports. C, Histogram plots of the z-scored correlation coefficients for pursuit and perception for manipulations in the spatial filter form (left) or temporal filter forms (right) from the same data.