Fig. 3.

Experience-driven distractor suppression along the two dimensions feature specificity and temporal extent. Most effects can be categorized as relatively short-term inter-trial priming (Kristjánsson and Driver, 2008), longer-term singleton suppression (Gaspelin et al., 2015), or highly durable effects of distractor probability learning (Vatterott and Vecera, 2012). In all three categories, learning tends to be feature-specific when encountering distractors with a single feature value (e.g., a specific blue), but becomes more general when encountering a wider range of feature values (e.g., Chetverikov et al., 2016). In the case of singleton suppression, learning can generalize beyond encountered feature values when rejecting a wide range of color singletons (Won et al., 2019), while such second-order suppression of distractors is not known to occur for inter-trial priming and probability learning. Here we have treated various feature dimensions (color, orientation, location) together, but it is a matter of future research to test how the temporal extent and feature specificity of effects varies across feature dimensions.