Inter-trial effects in priming of pop-out: Comparison of computational updating models
Fig 4
Illustration of the hierarchical modeling framework.
Each hierarchical model consists of an evidence accumulation model (either the drift-diffusion model or the LATER model) and either no updating or one updating rule for each parameter of the evidence accumulation model (starting point S0, evidence accumulation rate r, and non-decision time τ). Each updating rule belongs to one of the four categories shown in the middle layer of the figure, and is applied to one of the three inter-trial updating variables shown in the blue box on the right side of the figure: the response-critical feature (RCF), the target-defining color, or the target position. For some of the updating rules based on the RCF or color, there are three different versions of the rule, differing in their degree of position-specificity (top level of the hierarchy). These rules could be fully position-independent (PI), fully position-dependent (PD), with a gradient-like dependence on the change of position (PG), or starting out fully position-dependent but then spreading (PS). See the main text for detailed descriptions.