Inter-trial effects in priming of pop-out: Comparison of computational updating models
Fig 1
The DDM assumes that evidence accumulates, from the starting point (S0), through random diffusion in combination with drift at a constant rate r until a boundary (i.e., threshold, θ) is reached (illustrated in blue). The Linear Approach to Threshold with Ergodic Rate (LATER) model (illustrated in red) makes the same assumptions, except that there is no random diffusion, but instead the rate r varies across trials (so as to explain trial-to-trial variability in RTs). In addition, a non-decision time (NDT) τ is added to the boundary crossing time on each trial, to capture time spent on everything else than the perceptual decision (e.g., the time to prepare and execute a selected motor response).