Department of Psychology, University of Amsterdam, Amsterdam, Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, Netherlands; Department of Experimental and Applied Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Institute of Brain and Behaviour Amsterdam, Amsterdam, Netherlands
Eline Lampers
Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
Elisa Cordesius
Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
Department of Psychology, University of Amsterdam, Amsterdam, Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, Netherlands; Department of Experimental and Applied Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands; Institute of Brain and Behaviour Amsterdam, Amsterdam, Netherlands
Predictions based on learned statistical regularities in the visual world have been shown to facilitate attention and goal-directed behavior by sharpening the sensory representation of goal-relevant stimuli in advance. Yet, how the brain learns to ignore predictable goal-irrelevant or distracting information is unclear. Here, we used EEG and a visual search task in which the predictability of a distractor’s location and/or spatial frequency was manipulated to determine how spatial and feature distractor expectations are neurally implemented and reduce distractor interference. We find that expected distractor features could not only be decoded pre-stimulus, but their representation differed from the representation of that same feature when part of the target. Spatial distractor expectations did not induce changes in preparatory neural activity, but a strongly reduced Pd, an ERP index of inhibition. These results demonstrate that neural effects of statistical learning critically depend on the task relevance and dimension (spatial, feature) of predictions.
