<p>Full hierarchical moderation model: main effects and interaction terms.</p>

In avoidance contexts, the influence of is reduced, whereas alignment with increases, while sensitivity to remains comparatively stable. Block-related interactions indicate gradual changes in feature weighting over time, characterized by increasing alignment with and boundary states (binary energy state and wait when safe). Crucially, the residualized model in <b>(B)</b> confirms that the condition-dependent increase in persists beyond variance shared with other predictors, indicating a unique contribution of integrated value representations.

Higher-order interactions, including and condition, were not credibly different from zero in either model, suggesting that explicit feature interactions do not explain behavior beyond integrated value signals captured by . Continuous predictors were standardized prior to model fitting. Condition was coded as 0 = approach and 1 = avoidance.</p> <p>(PDF)</p>