A Bayesian Attractor Model for Perceptual Decision Making
Fig 2
Example stimulus of single dot task, with a switch of target location.
(A) The plot shows both x- and y- positions of the single dot throughout an example trial of 1600ms length. Every 40ms a new dot position is drawn. For 800ms positions are drawn from the first target (blue), i.e., a Gaussian with mean position [0.71, 0.71] (dark blue horizontal line) and standard deviation s = 2 in both dimensions. For the next 800ms positions are drawn from the second target (orange) around the mean [-0.71, -0.71] (red horizontal line) with the same standard deviation. (B) Same data as in (A), but plotted in 2D coordinates as when presented on a screen. Note that the observer would see only a single dot of neutral colour at any time throughout the trial and would have to decide whether the dot moves around the first (lower left) or second (upper right) target (indicated by lines).