Predictive Distractor Processing Relies on Integrated Proactive and Reactive Attentional Mechanisms

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Figure 3.
Figure 3.

A, Time-resolved classification of the previous distractor location. B, Time-resolved classification of the previous target location. C, Time-resolved generalization between previous and current distractor location, obtained by training the classifier on the previous distractor location and testing it on the current distractor location. The gray line indicates classifier performance across the entire time window, while the black segment denotes the time period used for statistical testing (cluster-based permutation test). All classification results are presented as AUC with error bars depicting the 95% CI. Horizontal black lines indicate significant clusters. Vertical gray lines mark the onset of the presearch (0 s) and the search displays (1.5 s) and dashed black lines represent chance-level classification.

  1. The Journal of Neuroscience vol. 46 no. 6
  1. Free Access 
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