Table 1. Variables of the Hierarchical Bayesian Graphical Model (See Figure 2).
| Variable | Explanation |
|---|---|
| ωnpj∼Normal(ωnpm,ωnpτ) | Attentinal weight (probe) |
| ωnrj=1-ωnpj | Attentinal weight (reference) |
| νnp=mean(νnpj) j∈participants | Processing rate (probe) |
| νnr=mean(νnrj) j∈participants | Processing rate (reference) |
| Cnj∼Normal(Cnm,Cnτ) | Processing capacity |
| νnpj=Cnj·ωnpj | Participant processing rate (probe) |
| νnrj=Cnj·ωnrj | Participant processing rate (reference) |
| θsj,i←PA(νnp, νnrp, SOA) | Probability of “Probe first” |
| ynj,i=Binominal(θnj,insj,i) | Count “Probe first” response |