Journal articles on the topic 'Attentional suppression'

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1

Carlisle, Nancy, and Aleksander Nitka. "Controlled Attentional Suppression." Journal of Vision 15, no. 12 (September 1, 2015): 230. http://dx.doi.org/10.1167/15.12.230.

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2

Kerzel, Dirk, Stanislas Huynh Cong, and Nicolas Burra. "Do we need attentional suppression?" Visual Cognition 29, no. 9 (September 28, 2021): 580–82. http://dx.doi.org/10.1080/13506285.2021.1918304.

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3

Caputo, Giovanni, and Sergio Guerra. "Attentional selection by distractor suppression." Vision Research 38, no. 5 (March 1998): 669–89. http://dx.doi.org/10.1016/s0042-6989(97)00189-2.

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4

Geng, Joy J. "Attentional Mechanisms of Distractor Suppression." Current Directions in Psychological Science 23, no. 2 (April 2014): 147–53. http://dx.doi.org/10.1177/0963721414525780.

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5

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 (June 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 as distractor positivity (PD). We reexamined distractor benefits with small search displays and found that the positivity to the distractor was followed by a negativity to the distractor. The negativity, referred to as N2pc, is considered an index of attentional selection of the contralateral element. Thus, attentional suppression of the distractor (PD) preceded attentional capture (N2pc) by the distractor, which is at odds with the idea that attentional suppression avoids attentional capture by the distractor. Instead, we suggest that the initial “PD” is not a positivity to the distractor but rather a negativity (N2pc) to the contralateral context element, suggesting that, initially, the context captured attention. Subsequently, the distractor was selected because, paradoxically, participants searched all lateral target positions (even when irrelevant) before they examined the vertical positions. Consistent with this idea, search times were shorter for lateral than vertical targets. In summary, the early voltage difference in small search displays is unrelated to distractor suppression but may reflect capture by the context.
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6

Stilwell, Brad T., Howard Egeth, and Nicholas Gaspelin. "Electrophysiological Evidence for the Suppression of Highly Salient Distractors." Journal of Cognitive Neuroscience 34, no. 5 (March 31, 2022): 787–805. http://dx.doi.org/10.1162/jocn_a_01827.

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Abstract There has been a longstanding debate as to whether salient stimuli have the power to involuntarily capture attention. As a potential resolution to this debate, the signal suppression hypothesis proposes that salient items generate a bottom–up signal that automatically attracts attention, but that salient items can be suppressed by top–down mechanisms to prevent attentional capture. Despite much support, the signal suppression hypothesis has been challenged on the grounds that many prior studies may have used color singletons with relatively low salience that are too weak to capture attention. The current study addressed this by using previous methods to study suppression but increased the set size to improve the relative salience of the color singletons. To assess whether salient distractors captured attention, electrophysiological markers of attentional allocation (the N2pc component) and suppression (the PD component) were measured. The results provided no evidence of attentional capture, but instead indicated suppression of the highly salient singleton distractors, as indexed by the PD component. This suppression occurred even though a computational model of saliency confirmed that the color singleton was highly salient. Altogether, this supports the signal suppression hypothesis and is inconsistent with stimulus-driven models of attentional capture.
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7

Xu, Zhenzhen, Sander A. Los, and Jan Theeuwes. "Attentional suppression in time and space." Journal of Experimental Psychology: Human Perception and Performance 47, no. 8 (August 2021): 1056–62. http://dx.doi.org/10.1037/xhp0000925.

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8

Moher, Jeff. "Context-driven suppression of attentional capture." Journal of Vision 15, no. 12 (September 1, 2015): 312. http://dx.doi.org/10.1167/15.12.312.

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9

Constans, Joseph I., Michael S. McCloskey, Jennifer J. Vasterling, Kevin Brailey, and Andrew Mathews. "Suppression of Attentional Bias in PTSD." Journal of Abnormal Psychology 113, no. 2 (May 2004): 315–23. http://dx.doi.org/10.1037/0021-843x.113.2.315.

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10

Rees, G. "Attentional suppression in human extrastriate cortex." Trends in Cognitive Sciences 3, no. 2 (February 1999): 46. http://dx.doi.org/10.1016/s1364-6613(99)01287-5.

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11

Rees, G. "Attentional suppression in human extrastriate cortex." Trends in Cognitive Sciences 3, no. 3 (March 1999): 90. http://dx.doi.org/10.1016/s1364-6613(99)01296-6.

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12

Dhawan, S., H. Deubel, and D. Jonikaitis. "Inhibition of saccades elicits attentional suppression." Journal of Vision 13, no. 6 (May 17, 2013): 9. http://dx.doi.org/10.1167/13.6.9.

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13

Blaes, Sebastian, and Thomas Burwick. "Attentional Bias Through Oscillatory Coherence Between Excitatory Activity and Inhibitory Minima." Neural Computation 27, no. 7 (July 2015): 1405–37. http://dx.doi.org/10.1162/neco_a_00742.

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An implementation of attentional bias is presented for a network model that couples excitatory and inhibitory oscillatory units in a manner that is inspired by the mechanisms that generate cortical gamma oscillations. Attentional biases are implemented as oscillatory coherences between excitatory units that encode the spatial location or features of the target and the pool of inhibitory units. This form of attentional bias is motivated by neurophysiological findings that relate selective attention to spike field coherence. Including also pattern recognition mechanisms, we demonstrate how this implementation of attentional bias leads to selection of an attentional target while suppressing distracters for cases of spatial and feature-based attention. With respect to neurophysiological observations, we argue that the recently found positive correlation between high firing rates and strong gamma locking with attention (Vinck, Womelsdorf, Buffalo, Desimone, & Fries, 2013 ) may point to an essential mechanism of the brain’s attentional selection and suppression processes.
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14

Wang, Encong, Li Sun, Meirong Sun, Jing Huang, Ye Tao, Xixi Zhao, Zhanliang Wu, et al. "Attentional Selection and Suppression in Children With Attention-Deficit/Hyperactivity Disorder." Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 1, no. 4 (July 2016): 372–80. http://dx.doi.org/10.1016/j.bpsc.2016.01.004.

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15

Stilwell, Brad T., and Nicholas Gaspelin. "Attentional suppression of highly salient color singletons." Journal of Experimental Psychology: Human Perception and Performance 47, no. 10 (October 2021): 1313–28. http://dx.doi.org/10.1037/xhp0000948.

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16

Ho, T., S. Brown, and J. Serences. "Perceptual consequences of feature-based attentional suppression." Journal of Vision 11, no. 11 (September 23, 2011): 152. http://dx.doi.org/10.1167/11.11.152.

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17

Gaspelin, Nicholas, Carly Leonard, and Steven Luck. "Suppression of Covert and Overt Attentional Capture." Journal of Vision 16, no. 12 (September 1, 2016): 189. http://dx.doi.org/10.1167/16.12.189.

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18

Vidnyanszky, Z., V. Gal, I. Kobor, L. Kozak, and J. Serences. "Attentional suppression spreads throughout the visual field." Journal of Vision 7, no. 9 (March 23, 2010): 787. http://dx.doi.org/10.1167/7.9.787.

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19

Burra, Nicolas, Coralie Pittet, Caroline Barras, and Dirk Kerzel. "Attentional suppression is delayed for threatening distractors." Visual Cognition 27, no. 3-4 (March 18, 2019): 185–98. http://dx.doi.org/10.1080/13506285.2019.1593272.

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20

Geden, Michael, Ana-Maria Staicu, and Jing Feng. "Reduced Target Facilitation and Increased Distractor Suppression During Mind Wandering." Experimental Psychology 65, no. 6 (November 2018): 345–52. http://dx.doi.org/10.1027/1618-3169/a000417.

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Abstract. The perceptual decoupling hypothesis suggests a general mechanism that while mind wandering, our attention is detached from our environment, resulting in diminished processing of external stimuli. This study focused on examining two possible specific mechanisms: the global suppression of all external stimuli, and a combination of reduced target facilitation and increased distractor suppression. An attentional capture task was used in which certain trials measured distractor suppression effects and others assessed target facilitation effects. The global suppression account predicts negative impacts on both types of trials, while the combined mechanisms of reduced target facilitation and increased distractor suppression suggest that only target-present trials would be affected. Results showed no cost of mind wandering on target-absent trials, but significant distractor suppression and target facilitation effects during mind wandering on target-present trials. These findings suggest that rather than perceptual decoupling globally suppressing all stimuli, it is more selective, falling in line with evidence on strong top-down modulation.
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21

Valdes-Sosa, Mitchell, Maria A. Bobes, Valia Rodriguez, and Tupac Pinilla. "Switching Attention without Shifting the Spotlight: Object-Based Attentional Modulation of Brain Potentials." Journal of Cognitive Neuroscience 10, no. 1 (January 1998): 137–51. http://dx.doi.org/10.1162/089892998563743.

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Although psychophysical evidence for object-based attention has been reported, corresponding studies with event-related potentials (ERPs) are scarce. Here subjects were presented with perceptual fields containing two superimposed objects (transparent surfaces generated by two sets of dots in rigid rotation around fixation, each set of a different color and direction of motion) or only one object (the same dots but either at rest or all rotating in the same direction). Brief (150-msec) rectilinear displacements affected either of the sets at random ISIs of 350 to 550 msec. Attention was directed to one set of dots, guided by color, in order to discriminate the direction of their displacement. Motion-onset ERPs elicited by these displacements were compared for attended and unattended dots. When the perceptual field consisted of two objects, strong suppression of P1 and N1 was obtained in the ERPs associated with the unattended object. No suppression was found with the field containing a single object, although an enhanced selection negativity was found in ERPs associated with attended dots (selected by color). Since the two objects occupied the same region of visual space, the suppression of P1/N1 cannot be explained by the space-based mechanisms but is consistent with object-based attentional selection at early stages of vision. The results highlight the role of perceptual organization in enabling alternative attentional mechanisms.
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22

Kappenman, Emily S., Raphael Geddert, Jaclyn L. Farrens, John J. McDonald, and Greg Hajcak. "Recoiling From Threat: Anxiety Is Related to Heightened Suppression of Threat, Not Increased Attention to Threat." Clinical Psychological Science 9, no. 3 (March 24, 2021): 434–48. http://dx.doi.org/10.1177/2167702620961074.

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Increased attention to threat is considered a core feature of anxiety. However, there are multiple mechanisms of attention and multiple types of threat, and the relationships among attention, threat, and anxiety are poorly understood. In the present study, we used event-related potentials (ERPs) to separately isolate attentional selection (N2pc) and suppression (PD) of pictorial threats (photos of weapons, snakes, etc.) and conditioned threats (colored shapes paired with electric shock). In a sample of 48 young adults, both threat types were initially selected for increased attention (an N2pc), but only conditioned threats elicited subsequent suppression (a PD) and a reaction time (RT) bias. Levels of trait anxiety were unrelated to N2pc amplitude, but increased anxiety was associated with larger PDs (i.e., greater suppression) and reduced RT bias to conditioned threats. These results suggest that anxious individuals do not pay more attention to threats but rather engage more attentional suppression to overcome threats.
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23

Dixon, Matthew L., Justin Ruppel, Jay Pratt, and Eve De Rosa. "Learning to ignore: Acquisition of sustained attentional suppression." Psychonomic Bulletin & Review 16, no. 2 (April 2009): 418–23. http://dx.doi.org/10.3758/pbr.16.2.418.

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24

Barras, Caroline, and Dirk Kerzel. "ERP correlates of contingent attentional capture and suppression." Journal of Vision 15, no. 12 (September 1, 2015): 318. http://dx.doi.org/10.1167/15.12.318.

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25

Woodruff, C. Chad, and Shelley Klein. "Attentional distraction, μ-suppression and empathic perspective-taking." Experimental Brain Research 229, no. 4 (June 27, 2013): 507–15. http://dx.doi.org/10.1007/s00221-013-3612-3.

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26

Sun, Meirong, Encong Wang, Jing Huang, Chenguang Zhao, Jialiang Guo, Dongwei Li, Li Sun, Boqi Du, Yulong Ding, and Yan Song. "Attentional selection and suppression in children and adults." Developmental Science 21, no. 6 (May 15, 2018): e12684. http://dx.doi.org/10.1111/desc.12684.

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27

Jerger, Kristin, Christie Biggins, and George Fein. "P50 suppression is not affected by attentional manipulations." Biological Psychiatry 31, no. 4 (February 1992): 365–77. http://dx.doi.org/10.1016/0006-3223(92)90230-w.

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28

Roberts, Mark J., Gesa Lange, Tracey Van Der Veen, Eric Lowet, and Peter De Weerd. "The Attentional Blink is Related to the Microsaccade Rate Signature." Cerebral Cortex 29, no. 12 (April 3, 2019): 5190–203. http://dx.doi.org/10.1093/cercor/bhz058.

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Abstract The reduced detectability of a target T2 following discrimination of a preceding target T1 in the attentional blink (AB) paradigm is classically interpreted as a consequence of reduced attention to T2 due to attentional allocation to T1. Here, we investigated whether AB was related to changes in microsaccade rate (MSR). We found a pronounced MSR signature following T1 onset, characterized by MSR suppression from 200 to 328 ms and enhancement from 380 to 568 ms. Across participants, the magnitude of the MSR suppression correlated with the AB effect such that low T2 detectability corresponded to reduced MSR. However, in the same task, T1 error trials coincided with the presence of microsaccades. We discuss this apparent paradox in terms of known neurophysiological correlates of MS whereby cortical excitability is suppressed both during the microsaccade and MSR suppression, in accordance to poor T1 performance with microsaccade occurrence and poor T2 performance with microsaccade absence. Our data suggest a novel low-level mechanism contributing to AB characterized by reduced MSR, thought to cause suppressed visual cortex excitability. This opens the question of whether attention mediates T2 performance suppression independently from MSR, and if not, how attention interacts with MSR to produce the T2 performance suppression.
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29

Healy, Brian, Aaron Treadwell, and Mandy Reagan. "Measures of RSA Suppression, Attentional Control, and Negative Affect Predict Self-Ratings of Executive Functions." Journal of Psychophysiology 25, no. 4 (January 2011): 164–73. http://dx.doi.org/10.1027/0269-8803/a000053.

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The current study was an attempt to determine the degree to which the suppression of respiratory sinus arrhythmia (RSA) and attentional control were influential in the ability to engage various executive processes under high and low levels of negative affect. Ninety-four college students completed the Stroop Test while heart rate was being recorded. Estimates of the suppression of RSA were calculated from each participant in response to this test. The participants then completed self-ratings of attentional control, negative affect, and executive functioning. Regression analysis indicated that individual differences in estimates of the suppression of RSA, and ratings of attentional control were associated with the ability to employ executive processes but only when self-ratings of negative affect were low. An increase in negative affect compromised the ability to employ these strategies in the majority of participants. The data also suggest that high attentional control in conjunction with attenuated estimates of RSA suppression may increase the ability to use executive processes as negative affect increases.
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30

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 (December 17, 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 each of which was more likely to appear in one specific location in the visual field. We show that the magnitude of interference by a distractor determines the magnitude of suppression for its high-probability location: The more salient a distractor, the more it becomes suppressed when appearing in its high-probability location. We conclude that distractor suppression emerges as a consequence of the spatial regularities regarding the location of a distractor as well as its potency to interfere with attentional selection.
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31

Gaspelin, Nicholas, and Steven J. Luck. "Combined Electrophysiological and Behavioral Evidence for the Suppression of Salient Distractors." Journal of Cognitive Neuroscience 30, no. 9 (September 2018): 1265–80. http://dx.doi.org/10.1162/jocn_a_01279.

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Researchers have long debated how salient-but-irrelevant features guide visual attention. Pure stimulus-driven theories claim that salient stimuli automatically capture attention irrespective of goals, whereas pure goal-driven theories propose that an individual's attentional control settings determine whether salient stimuli capture attention. However, recent studies have suggested a hybrid model in which salient stimuli attract visual attention but can be actively suppressed by top–down attentional mechanisms. Support for this hybrid model has primarily come from ERP studies demonstrating that salient stimuli, which fail to capture attention, also elicit a distractor positivity (PD) component, a putative neural index of suppression. Other support comes from a handful of behavioral studies showing that processing at the salient locations is inhibited compared with other locations. The current study was designed to link the behavioral and neural evidence by combining ERP recordings with an experimental paradigm that provides a behavioral measure of suppression. We found that, when a salient distractor item elicited the PD component, processing at the location of this distractor was suppressed below baseline levels. Furthermore, the magnitude of behavioral suppression and the magnitude of the PD component covaried across participants. These findings provide a crucial connection between the behavioral and neural measures of suppression, which opens the door to using the PD component to assess the timing and neural substrates of the behaviorally observed suppression.
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32

Eimer, Martin. "Why signal suppression cannot resolve the attentional capture debate." Visual Cognition 29, no. 9 (September 28, 2021): 541–43. http://dx.doi.org/10.1080/13506285.2021.1904075.

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33

Ho, T. C., S. Brown, N. A. Abuyo, E. H. J. Ku, and J. T. Serences. "Perceptual consequences of feature-based attentional enhancement and suppression." Journal of Vision 12, no. 8 (August 24, 2012): 15. http://dx.doi.org/10.1167/12.8.15.

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34

Sawaki, R., J. Raymond, and S. Luck. "Active attentional suppression of reward-predicting information: Electrophysiological evidence." Journal of Vision 12, no. 9 (August 10, 2012): 4. http://dx.doi.org/10.1167/12.9.4.

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35

Smith, A. T., K. D. Singh, and M. W. Greenlee. "Attentional suppression of activity in the human visual cortex." NeuroReport 11, no. 2 (February 2000): 271–78. http://dx.doi.org/10.1097/00001756-200002070-00010.

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36

Carlisle, Nancy B., and Ziyao Zhang. "Eye tracking supports active attentional suppression from negative templates." Journal of Vision 19, no. 10 (September 6, 2019): 53d. http://dx.doi.org/10.1167/19.10.53d.

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37

Gaspelin, Nicholas. "Mechanisms Underlying Suppression of Attentional Capture by Salient Stimuli." Journal of Vision 17, no. 10 (August 31, 2017): 3. http://dx.doi.org/10.1167/17.10.3.

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38

Stilwell, Brad T., Howard Egeth, and Nicholas Gaspelin. "Electrophysiological Evidence for Attentional Suppression of Highly Salient Distractors." Journal of Vision 22, no. 14 (December 5, 2022): 3061. http://dx.doi.org/10.1167/jov.22.14.3061.

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39

Hillyard, Steven A., Edward K. Vogel, and Steven J. Luck. "Sensory gain control (amplification) as a mechanism of selective attention: electrophysiological and neuroimaging evidence." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 353, no. 1373 (August 29, 1998): 1257–70. http://dx.doi.org/10.1098/rstb.1998.0281.

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Both physiological and behavioral studies have suggested that stimulus–driven neural activity in the sensory pathways can be modulated in amplitude during selective attention. Recordings of event–related brain potentials indicate that such sensory gain control or amplification processes play an important role in visual–spatial attention. Combined event–related brain potential and neuroimaging experiments provide strong evidence that attentional gain control operates at an early stage of visual processing in extrastriate cortical areas. These data support early selection theories of attention and provide a basis for distinguishing between separate mechanisms of attentional suppression (of unattended inputs) and attentional facilitation (of attended inputs).
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40

Johnson, Matthew R., and Marcia K. Johnson. "Top–Down Enhancement and Suppression of Activity in Category-selective Extrastriate Cortex from an Act of Reflective Attention." Journal of Cognitive Neuroscience 21, no. 12 (December 2009): 2320–27. http://dx.doi.org/10.1162/jocn.2008.21183.

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Recent research has demonstrated top–down attentional modulation of activity in extrastriate category-selective visual areas while stimuli are in view (perceptual attention) and after they are removed from view (reflective attention). Perceptual attention is capable of both enhancing and suppressing activity in category-selective areas relative to a passive viewing baseline. In this study, we demonstrate that a brief, simple act of reflective attention (“refreshing”) is also capable of both enhancing and suppressing activity in some scene-selective areas (the parahippocampal place area [PPA]) but not others (refreshing resulted in enhancement but not in suppression in the middle occipital gyrus [MOG]). This suggests that different category-selective extrastriate areas preferring the same class of stimuli may contribute differentially to reflective processing of one's internal representations of such stimuli.
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41

Feldmann-Wüstefeld, Tobias, Niko A. Busch, and Anna Schubö. "Failed Suppression of Salient Stimuli Precedes Behavioral Errors." Journal of Cognitive Neuroscience 32, no. 2 (February 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 task in which they had to report a digit inside a shape target while ignoring distractors, one of which could be a salient color singleton. Reports of target digits served as a behavioral index of enhancement, and reports of color distractor digits served as a behavioral index of failed suppression, each measured against reports of neutral distractor digits serving as a baseline. Participants reported the target identity more often than any distractor identity. The singleton identity was reported least often, suggesting suppression of the singleton below baseline. Suppression of salient stimuli was absent in the beginning and then increased throughout the experiment. When the singleton identity was reported, the Pd was observed in a later time window, suggesting that behavioral errors were preceded by failed suppression. Our results provide evidence for the signal suppression hypothesis that states salient items have to be actively suppressed to avoid attentional capture. Our results also provide direct evidence that the Pd is reflecting such active suppression.
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42

Kerzel, Dirk, and Stanislas Huynh Cong. "Attentional Templates Are Sharpened through Differential Signal Enhancement, Not Differential Allocation of Attention." Journal of Cognitive Neuroscience 33, no. 4 (April 2021): 594–610. http://dx.doi.org/10.1162/jocn_a_01677.

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In visual search, the internal representation of the target feature is referred to as the attentional template. The attentional template can be broad or precise depending on the task requirements. In singleton search, the attentional template is broad because the target is the only colored element in the display. In feature search, a precise attentional template is required because the target is in a specific color in an array of varied colors. To measure the precision of the attentional template, we used a cue-target paradigm where cueing benefits decrease when the cue color differs from the target color. Consistent with broad and precise attentional templates, the decrease of cueing effects was stronger in feature than in singleton search. Measurements of ERPs showed that the N2pc elicited by the cue decreased with increasing color difference, suggesting that attention was more strongly captured by cues that were similar to the target. However, the cue-elicited N2pc did not differ between feature and singleton search, making it unlikely to reflect the mechanism underlying attentional template precision. Furthermore, there was no evidence for attentional suppression as there was no cue-elicited PD, even in conditions where the cueing benefit turned into a same-location cost. However, an index of signal enhancement, the contralateral positivity, reflected attention template precision. In general, there was sensory enhancement of the stimulus appearing at the cued location in the search display. With broad attentional templates, any stimulus at the cued location was enhanced, whereas enhancement was restricted to target-matching colors with precise attentional templates.
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43

Brinkhuis, Manje A. B., Árni Kristjánsson, Ben M. Harvey, and Jan W. Brascamp. "Temporal Characteristics of Priming of Attention Shifts Are Mirrored by BOLD Response Patterns in the Frontoparietal Attention Network." Cerebral Cortex 30, no. 4 (November 7, 2019): 2267–80. http://dx.doi.org/10.1093/cercor/bhz238.

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Abstract Priming of attention shifts involves the reduction in search RTs that occurs when target location or target features repeat. We used functional magnetic resonance imaging to investigate the neural basis of such attentional priming, specifically focusing on its temporal characteristics over trial sequences. We first replicated earlier findings by showing that repetition of target color and of target location from the immediately preceding trial both result in reduced blood oxygen level-dependent (BOLD) signals in a cortical network that encompasses occipital, parietal, and frontal cortices: lag-1 repetition suppression. While such lag-1 suppression can have a number of explanations, behaviorally, the influence of attentional priming extends further, with the influence of past search trials gradually decaying across multiple subsequent trials. Our results reveal that the same regions within the frontoparietal network that show lag-1 suppression, also show longer term BOLD reductions that diminish over the course of several trial presentations, keeping pace with the decaying behavioral influence of past target properties across trials. This distinct parallel between the across-trial patterns of cortical BOLD and search RT reductions, provides strong evidence that these cortical areas play a key role in attentional priming.
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44

van Moorselaar, Dirk, and Jan Theeuwes. "Spatial suppression due to statistical regularities in a visual detection task." Attention, Perception, & Psychophysics 84, no. 2 (November 12, 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 us to examine suppression of the location that is likely to contain a distractor both in the presence, but critically also in the absence, of a priority signal generated by the target singleton. In an online variant of the additional singleton paradigm, observers had to indicate whether a unique shape was present or absent, while ignoring a colored singleton, which appeared with a higher probability in one specific location. We show that attentional capture was reduced, but not absent, at high-probability distractor locations, irrespective of whether the display contained a target or not. By contrast, target processing at the high-probability distractor location was selectively impaired on distractor-present displays. Moreover, all suppressive effects were characterized by a gradient such that suppression scaled with the distance to the high-probability distractor location. We conclude that statistical distractor learning can be examined in visual detection tasks, and discuss the implications for attentional suppression due to statistical learning.
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45

Barras, Caroline, and Dirk Kerzel. "Salient-but-irrelevant stimuli cause attentional capture in difficult, but attentional suppression in easy visual search." Psychophysiology 54, no. 12 (July 28, 2017): 1826–38. http://dx.doi.org/10.1111/psyp.12962.

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Schmid, Rebecca Rosa, Christian Büsel, and Ulrich Ansorge. "Invited commentary: Attentional capture and its suppression viewed as skills." Visual Cognition 29, no. 9 (September 28, 2021): 622–25. http://dx.doi.org/10.1080/13506285.2021.1936721.

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Feldmann-Wüstefeld, Tobias, and Edward Awh. "Theta-band oscillations track the time course of attentional suppression." Journal of Vision 18, no. 10 (September 1, 2018): 1221. http://dx.doi.org/10.1167/18.10.1221.

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Di Caro, Valeria, Jan Theeuwes, and Chiara Della Libera. "Suppression history of spatial locations biases attentional and oculomotor control." Journal of Vision 18, no. 10 (September 1, 2018): 477. http://dx.doi.org/10.1167/18.10.477.

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Pearson, Daniel, Poppy Watson, Phillip (Xin) Cheng, and Mike E. Le Pelley. "Overt attentional capture by reward-related stimuli overcomes inhibitory suppression." Journal of Experimental Psychology: Human Perception and Performance 46, no. 5 (May 2020): 489–501. http://dx.doi.org/10.1037/xhp0000728.

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Cosman, Joshua, Jeffrey Schall, and Geoffrey Woodman. "Frontal eye field sources of attentional suppression during visual search." Journal of Vision 16, no. 12 (September 1, 2016): 14. http://dx.doi.org/10.1167/16.12.14.

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