Our visual environment is complicated, and our cognitive capacity is limited. As a result, we must strategically ignore some stimuli to prioritize others. Common sense suggests that foreknowledge of distractor characteristics, like location or color, might help us ignore these objects. But empirical studies have provided mixed evidence, often showing that knowing about a distractor before it appears counterintuitively leads to its attentional selection. What has looked like strategic distractor suppression in the past is now commonly explained as a product of prior experience and implicit statistical learning, and the long-standing notion the distractor suppression is reflected in alpha band oscillatory brain activity has been challenged by results appearing to link alpha to target resolution. Can we strategically, proactively suppress distractors? And, if so, does this involve alpha? Here, we use the concurrent recording of human EEG and eye movements in optimized experimental designs to identify behavior and brain activity associated with proactive distractor suppression. Results from three experiments show that knowing about distractors before they appear causes a reduction in electrophysiological indices of covert attentional selection of these objects and a reduction in the overt deployment of the eyes to the location of the objects. This control is established before the distractor appears and is predicted by the power of cue-elicited alpha activity over the visual cortex. Foreknowledge of distractor characteristics therefore leads to improved selective control, and alpha oscillations in visual cortex reflect the implementation of this strategic, proactive mechanism.

Strategic distractor suppression improves selective control in human vision / Van Zoest, Louise Johanna Francisca Maria; Huber-Huber, Christoph; Weaver, Matthew; Hickey, Clayton. - In: THE JOURNAL OF NEUROSCIENCE. - ISSN 0270-6474. - 41:33(2021), pp. 7120-7135. [10.1523/jneurosci.0553-21.2021]

Strategic distractor suppression improves selective control in human vision

Wieske van Zoest;Matthew Weaver;Clayton Hickey
2021-01-01

Abstract

Our visual environment is complicated, and our cognitive capacity is limited. As a result, we must strategically ignore some stimuli to prioritize others. Common sense suggests that foreknowledge of distractor characteristics, like location or color, might help us ignore these objects. But empirical studies have provided mixed evidence, often showing that knowing about a distractor before it appears counterintuitively leads to its attentional selection. What has looked like strategic distractor suppression in the past is now commonly explained as a product of prior experience and implicit statistical learning, and the long-standing notion the distractor suppression is reflected in alpha band oscillatory brain activity has been challenged by results appearing to link alpha to target resolution. Can we strategically, proactively suppress distractors? And, if so, does this involve alpha? Here, we use the concurrent recording of human EEG and eye movements in optimized experimental designs to identify behavior and brain activity associated with proactive distractor suppression. Results from three experiments show that knowing about distractors before they appear causes a reduction in electrophysiological indices of covert attentional selection of these objects and a reduction in the overt deployment of the eyes to the location of the objects. This control is established before the distractor appears and is predicted by the power of cue-elicited alpha activity over the visual cortex. Foreknowledge of distractor characteristics therefore leads to improved selective control, and alpha oscillations in visual cortex reflect the implementation of this strategic, proactive mechanism.
2021
33
Van Zoest, Louise Johanna Francisca Maria; Huber-Huber, Christoph; Weaver, Matthew; Hickey, Clayton
Strategic distractor suppression improves selective control in human vision / Van Zoest, Louise Johanna Francisca Maria; Huber-Huber, Christoph; Weaver, Matthew; Hickey, Clayton. - In: THE JOURNAL OF NEUROSCIENCE. - ISSN 0270-6474. - 41:33(2021), pp. 7120-7135. [10.1523/jneurosci.0553-21.2021]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/437286
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