Figure 4.

Illustration of the model space for Bayesian model selection. First, we specified three model families to determine whether the tactile input drives rIPL, rAIC, or both regions (families not shown in the figure). For each of these three families, we then specified models based on whether prior belief modulates self-connections or efferent connections of the rIPL (M1–M4), rAIC (M5–M8), or rPMd (M9–M12). Bayesian model selection revealed that among the models with the tactile input directed to both rAIC and rIPL, model 8 (surrounded by the box) was superior to the other 11 models.