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Relevant bibliographies by topics / Distractor suppression

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Journal articles

Academic literature on the topic 'Distractor suppression'

Author: Grafiati

Published: 11 March 2023

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Journal articles on the topic "Distractor suppression"

1

Wang, Benchi, Joram van Driel, Eduard Ort, and Jan Theeuwes. "Anticipatory Distractor Suppression Elicited by Statistical Regularities in Visual Search." Journal of Cognitive Neuroscience 31, no. 10 (2019): 1535–48. http://dx.doi.org/10.1162/jocn_a_01433.

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Salient yet irrelevant objects often capture our attention and interfere with our daily tasks. Distraction by salient objects can be reduced by suppressing the location where they are likely to appear. The question we addressed here was whether suppression of frequent distractor locations is already implemented beforehand, in anticipation of the stimulus. Using EEG, we recorded cortical activity of human participants searching for a target while ignoring a salient distractor. The distractor was presented more often at one location than at any other location. We found reduced capture for distra

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2

Failing, Michel, and Jan Theeuwes. "More capture, more suppression: Distractor suppression due to statistical regularities is determined by the magnitude of attentional capture." Psychonomic Bulletin & Review 27, no. 1 (2019): 86–95. http://dx.doi.org/10.3758/s13423-019-01672-z.

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AbstractSalient yet irrelevant objects often interfere with daily tasks by capturing attention against our best interests and intentions. Recent research has shown that through implicit learning, distraction by a salient object can be reduced by suppressing the location where this distractor is likely to appear. Here, we investigated whether suppression of such high-probability distractor locations is an all-or-none phenomenon or specifically tuned to the degree of interference caused by the distractor. In two experiments, we varied the salience of two task-irrelevant singleton distractors eac

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3

Kerzel, Dirk, and Nicolas Burra. "Capture by Context Elements, Not Attentional Suppression of Distractors, Explains the PD with Small Search Displays." Journal of Cognitive Neuroscience 32, no. 6 (2020): 1170–83. http://dx.doi.org/10.1162/jocn_a_01535.

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Top–down control of attention allows us to resist attentional capture by salient stimuli that are irrelevant to our current goals. Recently, it was proposed that attentional suppression of salient distractors contributes to top–down control by biasing attention away from the distractor. With small search displays, attentional suppression of salient distractors may even result in reduced RTs on distractor-present trials. In support of attentional suppression, electrophysiological measures revealed a positivity between 200 and 300 msec contralateral to the distractor, which has been referred to

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4

Schall, Jeffrey D., Takashi R. Sato, Kirk G. Thompson, Amanda A. Vaughn, and Chi-Hung Juan. "Effects of Search Efficiency on Surround Suppression During Visual Selection in Frontal Eye Field." Journal of Neurophysiology 91, no. 6 (2004): 2765–69. http://dx.doi.org/10.1152/jn.00780.2003.

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Previous research has shown that visually responsive neurons in the frontal eye field of macaque monkeys select the target for a saccade during efficient, pop-out visual search through suppression of the representation of the nontarget distractors. For a fraction of these neurons, the magnitude of this distractor suppression varied with the proximity of the target to the receptive field, exhibiting more suppression of the distractor representation when the target was nearby than when the target was distant. The purpose of this study was to determine whether the variation of distractor suppress

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5

Serences, John T., Steven Yantis, Andrew Culberson, and Edward Awh. "Preparatory Activity in Visual Cortex Indexes Distractor Suppression During Covert Spatial Orienting." Journal of Neurophysiology 92, no. 6 (2004): 3538–45. http://dx.doi.org/10.1152/jn.00435.2004.

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The deployment of spatial attention induces retinotopically specific increases in neural activity that occur even before a target stimulus is presented. Although this preparatory activity is thought to prime the attended regions, thereby improving perception and recognition, it is not yet clear whether this activity is a manifestation of signal enhancement at the attended locations or suppression of interference from distracting stimuli (or both). We investigated the functional role of these preparatory shifts by isolating a distractor suppression component of selection. Behavioral data have s

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6

Feldmann-Wüstefeld, Tobias, Niko A. Busch, and Anna Schubö. "Failed Suppression of Salient Stimuli Precedes Behavioral Errors." Journal of Cognitive Neuroscience 32, no. 2 (2020): 367–77. http://dx.doi.org/10.1162/jocn_a_01502.

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Our visual system is constantly confronted with more information than it can process. To deal with the limited capacity, attention allows us to enhance relevant information and suppress irrelevant information. Particularly, the suppression of salient irrelevant stimuli has shown to be important as it prevents attention to be captured and thus attentional resources to be wasted. This study aimed at directly connecting failures to suppress distraction with a neural marker of suppression, the distractor positivity (Pd). We measured participants' EEG signal while they performed a visual search tas

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7

van Moorselaar, Dirk, and Jan Theeuwes. "Spatial suppression due to statistical regularities in a visual detection task." Attention, Perception, & Psychophysics 84, no. 2 (2021): 450–58. http://dx.doi.org/10.3758/s13414-021-02330-0.

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AbstractIncreasing evidence demonstrates that observers can learn the likely location of salient singleton distractors during visual search. To date, the reduced attentional capture at high-probability distractor locations has typically been examined using so called compound search, in which by design a target is always present. Here, we explored whether statistical distractor learning can also be observed in a visual detection task, in which participants respond target present if the singleton target is present and respond target absent when the singleton target is absent. If so, this allows

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8

Hickey, Clayton, Vincent Di Lollo, and John J. McDonald. "Electrophysiological Indices of Target and Distractor Processing in Visual Search." Journal of Cognitive Neuroscience 21, no. 4 (2009): 760–75. http://dx.doi.org/10.1162/jocn.2009.21039.

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Attentional selection of a target presented among distractors can be indexed with an event-related potential (ERP) component known as the N2pc. Theoretical interpretation of the N2pc has suggested that it reflects a fundamental mechanism of attention that shelters the cortical representation of targets by suppressing neural activity stemming from distractors. Results from fields other than human electrophysiology, however, suggest that attention does not act solely through distractor suppression; rather, it modulates the processing of both target and distractors. We conducted four ERP experime

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9

McSorley, Eugene, Patrick Haggard, and Robin Walker. "Time Course of Oculomotor Inhibition Revealed by Saccade Trajectory Modulation." Journal of Neurophysiology 96, no. 3 (2006): 1420–24. http://dx.doi.org/10.1152/jn.00315.2006.

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Selecting a stimulus as the target for a goal-directed movement involves inhibiting other competing possible responses. Both target and distractor stimuli activate populations of neurons in topographic oculomotor maps such as the superior colliculus. Local inhibitory interconnections between these populations ensure only one saccade target is selected. Suppressing saccades to distractors may additionally involve inhibiting corresponding map regions to bias the local competition. Behavioral evidence of these inhibitory processes comes from the effects of distractors on oculomotor and manual tra

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10

Lee, Jeongmi, Carly J. Leonard, Steven J. Luck, and Joy J. Geng. "Dynamics of Feature-based Attentional Selection during Color–Shape Conjunction Search." Journal of Cognitive Neuroscience 30, no. 12 (2018): 1773–87. http://dx.doi.org/10.1162/jocn_a_01318.

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Feature-based attentional selection is accomplished by increasing the gain of sensory neurons encoding target-relevant features while decreasing that of other features. But how do these mechanisms work when targets and distractors share features? We investigated this in a simplified color–shape conjunction search task using ERP components (N2pc, PD, and SPCN) that index lateralized attentional processing. In Experiment 1, we manipulated the presence and frequency of color distractors while holding shape distractors constant. We tested the hypothesis that the color distractor would capture atte

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