2019
DOI: 10.1016/j.copsyc.2019.02.004
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Getting rid of visual distractors: the why, when, how, and where

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Cited by 153 publications
(175 citation statements)
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References 109 publications
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“…That distractor filtering capitalizes on experience with the distractor information agrees with characteristics of habituation, the progressive attenuation of the amplitude of responses to repeated sensory stimulation which is not caused by sensory adaptation or motor fatigue . Although, thus far, habituation has especially been shown to account for reduced distractor interference following repeated exposure to visual onset distractors, its defining characteristics resonate with the idea that only prediction errors capture attention . Just as in predictive coding models where the brain is continuously trying to predict new sensory input based on previous experiences, in habituation models, sensory input is also compared against stored representations based on expected frequency and the context .…”
Section: Discussionmentioning
confidence: 58%
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“…That distractor filtering capitalizes on experience with the distractor information agrees with characteristics of habituation, the progressive attenuation of the amplitude of responses to repeated sensory stimulation which is not caused by sensory adaptation or motor fatigue . Although, thus far, habituation has especially been shown to account for reduced distractor interference following repeated exposure to visual onset distractors, its defining characteristics resonate with the idea that only prediction errors capture attention . Just as in predictive coding models where the brain is continuously trying to predict new sensory input based on previous experiences, in habituation models, sensory input is also compared against stored representations based on expected frequency and the context .…”
Section: Discussionmentioning
confidence: 58%
“…The evidence reviewed here, however, demonstrates that the neural mechanisms underlying distractor inhibition differ, at least to a large extent, from the ones that guide attention in space or along other feature dimensions. While attention can flexibly bias visual regions in advance to boost processing of goal‐relevant information, distractor foreknowledge often hampers performance, unless a defining distractor property (e.g., its location or color) becomes predictable through statistical learning . Yet, how such learned inhibition is neurally implemented remains an important outstanding question for future research.…”
Section: Discussionmentioning
confidence: 99%
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