Journal articles: 'Visual space attention'

1

Zhou, Liu, Teng Leng Ooi, and Zijiang He. "Attention expands visual space." Journal of Vision 15, no. 12 (September 1, 2015): 875. http://dx.doi.org/10.1167/15.12.875.

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Nicoletti, Roberto, and Carlo Umiltá. "Splitting visual space with attention." Journal of Experimental Psychology: Human Perception and Performance 15, no. 1 (1989): 164–69. http://dx.doi.org/10.1037/0096-1523.15.1.164.

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Suzuki, Satoru, and Patrick Cavanagh. "Focused attention distorts visual space: An attentional repulsion effect." Journal of Experimental Psychology: Human Perception and Performance 23, no. 2 (1997): 443–63. http://dx.doi.org/10.1037/0096-1523.23.2.443.

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Ono, Fuminori, and Katsumi Watanabe. "Attention Can Retrospectively Distort Visual Space." Psychological Science 22, no. 4 (March 24, 2011): 472–77. http://dx.doi.org/10.1177/0956797611403319.

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ONO, Fuminori, and Katsumi WATANABE. "Attention can distort visual space backwards." Proceedings of the Annual Convention of the Japanese Psychological Association 74 (September 20, 2010): 3PM032. http://dx.doi.org/10.4992/pacjpa.74.0_3pm032.

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Gibson, Bradley S., and Alan Kingstone. "Visual Attention and the Semantics of Space." Psychological Science 17, no. 7 (July 2006): 622–27. http://dx.doi.org/10.1111/j.1467-9280.2006.01754.x.

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Ruhnau, E., and V. Haase. "Space-time structure of selective visual attention." International Journal of Psychophysiology 14, no. 2 (February 1993): 146. http://dx.doi.org/10.1016/0167-8760(93)90239-l.

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Rivière, James, Aurore Cordonnier, and Christie Fouasse. "Attentional focus versus diffuse attention." International Journal of Behavioral Development 41, no. 5 (October 7, 2016): 605–10. http://dx.doi.org/10.1177/0165025416673473.

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How toddlers’ attention is distributed in the visual field during a magic trick was examined using three expectation conditions. Results showed that 2.5-year-old children assigned to the condition with major task-relevant information (i.e., a verbal cue to attend to one of the visual targets) (i) outperformed those who were assigned to the condition with no task-relevant information, (ii) displayed more attentional switches between visual targets than those who were assigned to the condition with no task-relevant information, and (iii) did not look significantly longer at one of the visual targets in contrast to children assigned to the condition with no task-relevant information. The findings of an additional control condition suggest that the performance by children in the condition with major task-relevant information cannot merely be the consequence of the larger quantity of auditory information that was given during the interaction prior to the magic trick. In our task, verbal cue affected the switching of attention, not the prioritization of a specific region of space. These results are discussed in terms of advantage conferred by a diffuse mode of attention.

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He, Z. J., and K. Nakayama. "Visual attention to surfaces in three-dimensional space." Proceedings of the National Academy of Sciences 92, no. 24 (November 21, 1995): 11155–59. http://dx.doi.org/10.1073/pnas.92.24.11155.

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Chillemi, Gaetana, Alessandro Calamuneri, Angelo Quartarone, Carmen Terranova, Adriana Salatino, Alberto Cacciola, Demetrio Milardi, and Raffaella Ricci. "Endogenous orientation of visual attention in auditory space." Journal of Advanced Research 18 (July 2019): 95–100. http://dx.doi.org/10.1016/j.jare.2019.01.010.

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Povinelli, Daniel J., and Timothy J. Eddy. "Chimpanzees: Joint Visual Attention." Psychological Science 7, no. 3 (May 1996): 129–35. http://dx.doi.org/10.1111/j.1467-9280.1996.tb00345.x.

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Gaze following is a behavior that draws the human infant into perceptual contact with objects or events in the world to which others are attending One interpretation of the development of this phenomenon is that it signals the emergence of joint or shared attention, which may be critical to the development of theory of mind An alternative interpretation is that gaze following is a noncognitive mechanism that exploits social stimuli in order to orient the infant (or adult) to important events in the world We report experimental results that chimpanzees display the effect in response to both movement of the head and eyes in concert and eye movement alone Additional tests indicate that chimpanzees appear able to (a) project an imaginary line of sight through invisible space and (b) understand how that line of sight can be impeded by solid, opaque objects This capacity may have arisen because of its reproductive payoffs in the context of social competition with conspecifics, predation avoidance, or both

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Rivière, James, and Julie Brisson. "Space-based visual attention: A marker of immature selective attention in toddlers?" Developmental Psychobiology 56, no. 7 (July 30, 2014): 1589–94. http://dx.doi.org/10.1002/dev.21240.

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Uddin, K., and N. Sachio. "Concentric shrinkage of visual space enhanced by centripetal attention." Journal of Vision 5, no. 12 (December 1, 2005): 70. http://dx.doi.org/10.1167/5.12.70.

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Tünnermann, Jan, and Bärbel Mertsching. "Region-Based Artificial Visual Attention in Space and Time." Cognitive Computation 6, no. 1 (June 27, 2013): 125–43. http://dx.doi.org/10.1007/s12559-013-9220-5.

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Hashemi, Seyyed Mohammad Reza. "A Survey of Visual Attention Models." Ciência e Natura 37 (December 19, 2015): 297. http://dx.doi.org/10.5902/2179460x20786.

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The present paper surveys visual attention models, showing factors’ categorization. It also studies bottom-up models in comparison to top-to-down, spatial models compared to spatial-temporal ones, obvious attention against the hidden one, and space-based models against the object-based ones. It categorizes some challenging model issues, including biological calculations, correlation with the set of eye-movement data, as well as bottom-up and top-to-down topics, explaining each in details.

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Schumacher, Eric H., Alexandra List, Lynn C. Robertson, and Mark D'Esposito. "Object- and space-based visual attention in the human brain." NeuroImage 13, no. 6 (June 2001): 356. http://dx.doi.org/10.1016/s1053-8119(01)91699-4.

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McMains, Stephanie A., Hilda M. Fehd, Tatiana-Aloi Emmanouil, and Sabine Kastner. "Mechanisms of Feature- and Space-Based Attention: Response Modulation and Baseline Increases." Journal of Neurophysiology 98, no. 4 (October 2007): 2110–21. http://dx.doi.org/10.1152/jn.00538.2007.

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Selective attention modulates neural activity in the visual system both in the presence and in the absence of visual stimuli. When subjects direct attention to a particular location in a visual scene in anticipation of the stimulus onset, there is an increase in baseline activity. How do such baseline increases relate to the attentional modulation of stimulus-driven activity? Using functional magnetic resonance imaging, we demonstrate that baseline increases related to the expectation of motion or color stimuli at a peripheral target location do not predict the modulation of neural responses evoked by these stimuli when attended. In areas such as MT and TEO that were more effectively activated by one stimulus type than the other, attentional modulation of visually evoked activity depended on the stimulus preference of a visual area and was stronger for the effective than for the noneffective stimulus. In contrast, baseline increases did not reflect the stimulus preference of a visual area. Rather, these signals were shown to be spatially specific and appeared to be dominated by the location information and not by the feature information of the cue with the experimental paradigms under study. These findings provide evidence that baseline increases in visual cortex during cue periods do not reflect the activation of a memory template that includes particular stimulus properties of the expected target, but rather carry information about the location of an expected target stimulus. In addition, when the stimulus contained both color and motion, an object-based attention effect was observed, with significant attentional modulation in the area that responded preferentially to the unattended feature.

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Guo, Wenya, Ying Zhang, Xiaoping Wu, Jufeng Yang, Xiangrui Cai, and Xiaojie Yuan. "Re-Attention for Visual Question Answering." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (April 3, 2020): 91–98. http://dx.doi.org/10.1609/aaai.v34i01.5338.

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Visual Question Answering~(VQA) requires a simultaneous understanding of images and questions. Existing methods achieve well performance by focusing on both key objects in images and key words in questions. However, the answer also contains rich information which can help to better describe the image and generate more accurate attention maps. In this paper, to utilize the information in answer, we propose a re-attention framework for the VQA task. We first associate image and question by calculating the similarity of each object-word pairs in the feature space. Then, based on the answer, the learned model re-attends the corresponding visual objects in images and reconstructs the initial attention map to produce consistent results. Benefiting from the re-attention procedure, the question can be better understood, and the satisfactory answer is generated. Extensive experiments on the benchmark dataset demonstrate the proposed method performs favorably against the state-of-the-art approaches.

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Arrington, Catherine M., Thomas H. Carr, Andrew R. Mayer, and Stephen M. Rao. "Neural Mechanisms of Visual Attention: Object-Based Selection of a Region in Space." Journal of Cognitive Neuroscience 12, supplement 2 (November 2000): 106–17. http://dx.doi.org/10.1162/089892900563975.

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Objects play an important role in guiding spatial attention through a cluttered visual environment. We used event-related functional magnetic resonance imaging (ER-fMRI) to measure brain activity during cued discrimination tasks requiring subjects to orient attention either to a region bounded by an object (object-based spatial attention) or to an unbounded region of space (location-based spatial attention) in anticipation of an upcoming target. Comparison between the two tasks revealed greater activation when attention selected a region bounded by an object. This activation was strongly lateralized to the left hemisphere and formed a widely distributed network including (a) attentional structures in parietal and temporal cortex and thalamus, (b) ventral-stream object processing structures in occipital, inferior-temporal, and parahippocampal cortex, and (c) control structures in medial-and dorsolateral-prefrontal cortex. These results suggest that object-based spatial selection is achieved by imposing additional constraints over and above those processes already operating to achieve selection of an unbounded region. In addition, ER-fMRI methodology allowed a comparison of validly versus invalidly cued trials, thereby delineating brain structures involved in the reorientation of attention after its initial deployment proved incorrect. All areas of activation that differentiated between these two trial types resulted from greater activity during the invalid trials. This outcome suggests that all brain areas involved in attentional orienting and task performance in response to valid cues are also involved on invalid trials. During invalid trials, additional brain regions are recruited when a perceiver recovers from invalid cueing and reorients attention to a target appearing at an uncued location. Activated brain areas specific to attentional reorientation were strongly right-lateralized and included posterior temporal and inferior parietal regions previously implicated in visual attention processes, as well as prefrontal regions that likely subserve control processes, particularly related to inhibition of inappropriate responding.

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Favril, Louis, André Mouraux, Chiara F. Sambo, and Valéry Legrain. "Shifting attention between the space of the body and external space: Electrophysiological correlates of visual-nociceptive crossmodal spatial attention." Psychophysiology 51, no. 5 (March 3, 2014): 464–77. http://dx.doi.org/10.1111/psyp.12157.

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21

Logan, Gordon D. "The CODE theory of visual attention: An integration of space-based and object-based attention." Psychological Review 103, no. 4 (October 1996): 603–49. http://dx.doi.org/10.1037/0033-295x.103.4.603.

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22

Li, Shuhong, and Qiaorong Zhang. "A Computational Model of Visual Attention Based on Space and Object." Research Journal of Applied Sciences, Engineering and Technology 7, no. 1 (January 1, 2014): 42–48. http://dx.doi.org/10.19026/rjaset.7.218.

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23

Kravitz, Dwight J., and Marlene Behrmann. "Space-, object-, and feature-based attention interact to organize visual scenes." Attention, Perception, & Psychophysics 73, no. 8 (October 18, 2011): 2434–47. http://dx.doi.org/10.3758/s13414-011-0201-z.

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Liu, Yun, Xiaoming Zhang, Feiran Huang, Zhibo Zhou, Zhonghua Zhao, and Zhoujun Li. "Visual Question Answering via Combining Inferential Attention and Semantic Space Mapping." Knowledge-Based Systems 207 (November 2020): 106339. http://dx.doi.org/10.1016/j.knosys.2020.106339.

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25

Kiefer, Raymond J., and Patricia Siple. "Spatial constraints on the voluntary control of attention across visual space." Canadian Journal of Psychology/Revue canadienne de psychologie 41, no. 4 (1987): 474–89. http://dx.doi.org/10.1037/h0084168.

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Mason, Deanna J., Glyn W. Humphreys, and Lindsey S. Kent. "Exploring selective attention in ADHD: visual search through space and time." Journal of Child Psychology and Psychiatry 44, no. 8 (October 16, 2003): 1158–76. http://dx.doi.org/10.1111/1469-7610.00204.

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Satoh, Shunji, and Shogo Miyake. "A model of overt visual attention based on scale-space theory." Systems and Computers in Japan 35, no. 10 (2004): 1–13. http://dx.doi.org/10.1002/scj.10708.

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Gattass, Ricardo, and Robert Desimone. "Effect of Microstimulation of the Superior Colliculus on Visual Space Attention." Journal of Cognitive Neuroscience 26, no. 6 (June 2014): 1208–19. http://dx.doi.org/10.1162/jocn_a_00570.

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We investigated the effect of microstimulation of the superficial layers of the superior colliculus (SC) on the performance of animals in a peripheral detection paradigm while maintaining fixation. In a matching-to-sample paradigm, a sample stimulus was presented at one location followed by a brief test stimulus at that (relevant) location and a distractor at another (irrelevant) location. While maintaining fixation, the monkey indicated whether the sample and the test stimulus matched, ignoring the distractor. The relevant and irrelevant locations were switched from trial to trial. Cells in the superficial layers of SC gave enhanced responses when the attended test stimulus was inside the receptive field compared with when the (physically identical) distractor was inside the field. These effects were found only in an “automatic” attentional cueing paradigm, in which a peripheral stimulus explicitly cued the animal as to the relevant location in the receptive field. No attentional effects were found with block of trials. The transient enhancement to the attended stimulus was observed at the onset and not at the offset of the stimulus. Electrical stimulation at the site corresponding to the irrelevant distractor location in the SC causes it to gain control over attention, causing impaired performance of the task at the relevant location. Stimulation at unattended sites without the presence of a distractor stimulus causes little or no impairment in performance. The effect of stimulation decays with successive stimulations. The animals learn to ignore the stimulation unless the parameters of the task are varied.

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Caparos, Serge, and Karina J. Linnell. "The interacting effect of load and space on visual selective attention." Visual Cognition 17, no. 8 (November 2009): 1218–27. http://dx.doi.org/10.1080/13506280902924083.

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Andres, Michael, Nicolas Masson, Nathanael Larigaldie, Mario Bonato, Yves Vandermeeren, and Valérie Dormal. "Transcranial electric stimulation optimizes the balance of visual attention across space." Clinical Neurophysiology 131, no. 4 (April 2020): 912–20. http://dx.doi.org/10.1016/j.clinph.2019.12.415.

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Filbrich, L., L. Favril, A. Mouraux, C. Sambo, and V. Legrain. "P988: Shifting attention between the space of the body and external space. Electrophysiological correlates of visual-nociceptive crossmodal spatial attention." Clinical Neurophysiology 125 (June 2014): S311. http://dx.doi.org/10.1016/s1388-2457(14)51024-3.

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McKone, Elinor, Anne Aimola Davies, and Dinusha Fernando. "Blurry Means Good Focus: Myopia and Visual Attention." Perception 37, no. 11 (January 1, 2008): 1765–68. http://dx.doi.org/10.1068/p6156.

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A correlation between myopia and visuo-spatial attention is reported. More severe myopia was found to be associated with better ability to quickly narrow the focus of visual attention to a small region of space (assessed via interference from spatial proximity of to-be-ignored inverted half-faces), in a task where local focus was explicitly required. There was no myopia association with size of the default attentional window, when the need to respond to either small local or larger global regions was equally likely (in a particular Navon figure task). Results suggest that myopics might allocate attention more narrowly than individuals with normal eyesight in certain functionally important visual tasks (eg reading) but not others (eg driving).

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Xia, Ru Ting. "Visional Attentional Allocation of Top-down and Bottom-up Cues in Three-Dimensional Space." Advanced Materials Research 179-180 (January 2011): 1322–26. http://dx.doi.org/10.4028/www.scientific.net/amr.179-180.1322.

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The aim of the present experiment was to investigate visual attentional allocation of top-down and bottom-up cues in three-dimensional (3D) space. Near and far stimuli were used by a 3D attention measurement apparatus. Two experiments were conducted in order to examine top-down and bottom-up controls of visual attention. In the experiment 1, the cue about the location of a target by means of location information. In the experiment 2, color cue by brief change of color at target locations was presented. Observers were required to judge whether the target presented nearer than fixation point or further than it. The results in experiment 1 and experiment 2 show that both location and color cue have the effect on reaction time, and that shift of attention were faster from far to near than the reverse. These findings suggest that (1) attention in 3D space might be operated with both location and color controls included the depth information, (2) the shift of visual attention in 3D space has an asymmetric characteristic in depth.

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De Paepe, Annick, Valéry Legrain, and Geert Crombez. "Visual stimuli within peripersonal space prioritize pain." Seeing and Perceiving 25 (2012): 88. http://dx.doi.org/10.1163/187847612x647072.

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Localizing pain not only requires a simple somatotopic representation of the body, but also knowledge about the limb position (i.e., proprioception), and a visual localization of the pain source in external space. Therefore, nociceptive events are remapped into a multimodal representation of the body and the space nearby (i.e., a peripersonal schema of the body). We investigated the influence of visual cues presented either in peripersonal, or in extrapersonal space on the localization of nociceptive stimuli in a temporal order judgement (TOJ) task. 24 psychology students made TOJs concerning which of two nociceptive stimuli (one applied to each hand) had been presented first (or last). A spatially non-predictive visual cue (i.e., lighting of a LED) preceded (80 ms) the nociceptive stimuli. This cue was presented randomly either on the hand of the participant (in peripersonal space), or 70 cm in front of the hand (in extrapersonal space), and either on the left or on the right side of space. Biases in spatial attention are reflected by the point of subjective simultaneity (PSS). The results revealed that TOJs were more biased towards the visual cue in peripersonal space in comparison with the visual cue in extrapersonal space. This study provides evidence for the crossmodal integration of visual and nociceptive stimuli in a peripersonal schema of the body. Future research with this paradigm will explore crossmodal attention deficits in chronic pain populations.

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Xia, Ru Ting, and Xiao Yan Zhou. "Measurement on Reaction Time of Visual Attention in Depth during Driving." Applied Mechanics and Materials 319 (May 2013): 343–47. http://dx.doi.org/10.4028/www.scientific.net/amm.319.343.

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This research aimed to reveal characteristics of visual attention of low-vision drivers. Near and far stimuli were used by means of a three-dimensional (3D) attention measurement system that simulated traffic environment. We measured the reaction time of subjects while attention shifted in three kinds of imitational peripheral environment illuminance (daylight, twilight and dawn conditions). Subjects were required to judge whether the target presented nearer than fixation point or further than it. The results showed that the peripheral environment illuminance had evident influence on the reaction time of drivers, the reaction time was slow in dawn and twilight conditions than in daylight condition, distribution of attention had the advantage in nearer space than farther space, that is, and the shifts of attention in 3D space had an anisotropy characteristic in depth. The results suggested that (1) visual attention might be operated with both precueing paradigm and stimulus controls included the depth information, (2) an anisotropy characteristic of attention shifting depend on the attention moved distance, and it showed remarkably in dawn condition than in daylight and twilight conditions.

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Santos, Paulo, Chris Needham, and Derek Magee. "Inductive learning spatial attention." Sba: Controle & Automação Sociedade Brasileira de Automatica 19, no. 3 (September 2008): 316–26. http://dx.doi.org/10.1590/s0103-17592008000300007.

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This paper investigates the automatic induction of spatial attention from the visual observation of objects manipulated on a table top. In this work, space is represented in terms of a novel observer-object relative reference system, named Local Cardinal System, defined upon the local neighbourhood of objects on the table. We present results of applying the proposed methodology on five distinct scenarios involving the construction of spatial patterns of coloured blocks.

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Han, Shihui, Xiaoang Wan, and Glyn W. Humphreys. "Shifts of spatial attention in perceived 3-D space." Quarterly Journal of Experimental Psychology Section A 58, no. 4 (May 2005): 753–64. http://dx.doi.org/10.1080/02724980443000548.

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Previous studies have shown that spatial attention can shift in three-dimensional (3-D) space determined by binocular disparity. Using Posner′s precueing paradigm, the current work examined whether attentional selection occurs in perceived 3-D space defined by occlusion. Experiment 1 showed that shifts of spatial attention induced by central cues between two surfaces in the left and right visual fields did not differ between the conditions when the two surfaces were located at the same or different perceptual depth. In contrast, Experiment 2 found that peripheral cues generated a stronger cue validity effect when the two surfaces were perceived at a different rather than at the same perceptual depth. The results suggest that exogenous but not endogenous attention operates in perceived 3-D space.

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Bultitude, Janet H., Ian Walker, and Charles Spence. "Space-based bias of covert visual attention in complex regional pain syndrome." Brain 140, no. 9 (July 9, 2017): 2306–21. http://dx.doi.org/10.1093/brain/awx152.

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Fink, G. "Space-based and object-based visual attention: shared and specific neural domains." Brain 120, no. 11 (November 1, 1997): 2013–28. http://dx.doi.org/10.1093/brain/120.11.2013.

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Serences, J., and G. Boynton. "The joint influence of space- and feature-based attention on visual perception." Journal of Vision 6, no. 6 (March 24, 2010): 600. http://dx.doi.org/10.1167/6.6.600.

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41

Kramer, Arthur F., and Andrew Jacobson. "A comparison of Space-Based and Object-Based Models of Visual Attention." Proceedings of the Human Factors Society Annual Meeting 34, no. 19 (October 1990): 1489–93. http://dx.doi.org/10.1177/154193129003401915.

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Schneider, Werner X., Wolfgang Einhäuser, and Gernot Horstmann. "Introduction toCompetitive Visual Processing Across Space and Time: Attention, Memory, and Prediction." Annals of the New York Academy of Sciences 1339, no. 1 (March 2015): v—viii. http://dx.doi.org/10.1111/nyas.12744.

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Garcia, J., K. Kaye, D. Williams, T. Sprague, and J. Serences. "The phase of intrinsic oscillations modulates feature and space-based visual attention." Journal of Vision 14, no. 10 (August 22, 2014): 1118. http://dx.doi.org/10.1167/14.10.1118.

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Müller, Notger G., and Andreas Kleinschmidt. "Dynamic Interaction of Object- and Space-Based Attention in Retinotopic Visual Areas." Journal of Neuroscience 23, no. 30 (October 29, 2003): 9812–16. http://dx.doi.org/10.1523/jneurosci.23-30-09812.2003.

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Prins, N., and J. F. Juola. "Attention Switching vs Attention Sharing in Searching Dual RSVP Streams." Perception 25, no. 1_suppl (August 1996): 122. http://dx.doi.org/10.1068/v96p0304.

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Ideas about how visual attention is distributed over space include spotlight, zoom lens, and various resource allocation models. Spotlight and serial allocation models assume that attention is narrowly focused and switches from one object to another in visual search. Zoom lens and parallel allocation models, on the other hand, describe a flexible gradient within which attention can be shared among several items simultaneously. We report two experiments in which simultaneous rapid serial visual presentations (RSVPs) of two streams of digits were used, one above and one below a fixation point. In experiment 1, subjects were told to report the digit immediately following a uniquely coloured signal digit. In some trial blocks the coloured signal digit always appeared in either the top or bottom stream, and in other blocks the signal digit could occur in either stream. Stream location probabilities were varied between blocks in order to induce strategic variations in attentional allocation. In experiment 2, subjects were told to report the first two digits visible when the fixation point changed colour. Subjects were instructed to report one digit from the top stream and one from the bottom, with report order counterbalanced between blocks. The lag between the response signal and the actual digit reported was shown to vary strongly with signal location probability (experiment 1), and the lag between items reported from the top and bottom streams depended heavily on the order of report (experiment 2). The results were more consistent with an attention-switching model than with an attention-sharing model of visual attention.

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He, Xun, Silu Fan, Ke Zhou, and Lin Chen. "Cue Validity and Object-Based Attention." Journal of Cognitive Neuroscience 16, no. 6 (July 2004): 1085–97. http://dx.doi.org/10.1162/0898929041502689.

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In a previous study, Egly, Driver, and Rafal (1994) observed both space-and object-based components of visual selective attention. However, the mechanisms underlying these two components and the relationship between them are not well understood. In the present research, with a similar paradigm, these issues were addressed by manipulating cue validity. Behavioral results indicated the presence of both space-and object-based components under high cue validity, similar to the results of Egly et al.'s study. In addition, under low cue validity, the space-based component was absent, whereas the object-based component was maintained. Further event-related potential results demonstrated an object-based effect at a sensory level over the posterior areas of brain, and a space-based effect over the anterior region. The present data suggest that the space-and object-based components reflect mainly voluntary and reflexive mechanisms, respectively.

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Khan, Aarlenne, Myriam Prost-Lefebvre, Romeo Salemme, Gunnar Blohm, Yves Rossetti, and Laure Pisella. "The attentional fields of visual search in simultanagnosia and healthy individuals: How object and space attention interact." Journal of Vision 16, no. 12 (September 1, 2016): 1323. http://dx.doi.org/10.1167/16.12.1323.

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Khan, A. Z., M. Prost-Lefebvre, R. Salemme, G. Blohm, Y. Rossetti, C. Tilikete, and L. Pisella. "The Attentional Fields of Visual Search in Simultanagnosia and Healthy Individuals: How Object and Space Attention Interact." Cerebral Cortex 26, no. 3 (April 2, 2015): 1242–54. http://dx.doi.org/10.1093/cercor/bhv059.

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Hsieh, Shulan, and Alan Allport. "Shifting Attention in a Rapid Visual Search Paradigm." Perceptual and Motor Skills 79, no. 1 (August 1994): 315–35. http://dx.doi.org/10.2466/pms.1994.79.1.315.

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A method is introduced for studying shifts of attention in semantic space, testing 56 subjects in four experiments on a semantic monitoring task based on rapid, serial, visually presented (RSVP) word-sequences. Following a cue to shift attention, accuracy of semantic monitoring drops abruptly to a low level, then gradually recovers to reach preshift levels over successive stimuli in the RSVP sequence. Using this method, we compared two kinds of criterion-shifts, one requiring a set-reversal (‘reversal shifts’), the other involving a shift between orthogonally defined categories (‘orthogonal shifts’); no differences were found. We have also examined the difference in a shift between two different processing domains (semantic vs typographic) compared with a shift of criterion within the same processing domain. The results showed no differences for within- vs between-domain shifts. Finally, we studied the time-course of a semantic attention shift. Execution of a semantic shift did not follow an internally controlled time-course but was a direct function of the rate of stimulus presentation. No evidence was found for the operation of a ‘supervisory attentional system’ independent of external stimulus triggering.

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Lockhofen, Denise E. L., Nils Hübner, Fatma Hemdan, Gebhard Sammer, Dion Henare, Anna Schubö, and Christoph Mulert. "Differing Time Courses of Reward-Related Attentional Processing: An EEG Source-Space Analysis." Brain Topography 34, no. 3 (March 18, 2021): 283–96. http://dx.doi.org/10.1007/s10548-021-00827-3.

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AbstractSince our environment typically contains more information than can be processed at any one time due to the limited capacity of our visual system, we are bound to differentiate between relevant and irrelevant information. This process, termed attentional selection, is usually categorized into bottom-up and top-down processes. However, recent research suggests reward might also be an important factor in guiding attention. Monetary reward can bias attentional selection in favor of task-relevant targets and reduce the efficiency of visual search when a reward-associated, but task-irrelevant distractor is present. This study is the first to investigate reward-related target and distractor processing in an additional singleton task using neurophysiological measures and source space analysis. Based on previous studies, we hypothesized that source space analysis would find enhanced neural activity in regions of the value-based attention network, such as the visual cortex and the anterior cingulate. Additionally, we went further and explored the time courses of the underlying attentional mechanisms. Our neurophysiological results showed that rewarding distractors led to a stronger attentional capture. In line with this, we found that reward-associated distractors (compared with reward-associated targets) enhanced activation in frontal regions, indicating the involvement of top-down control processes. As hypothesized, source space analysis demonstrated that reward-related targets and reward-related distractors elicited activation in regions of the value-based attention network. However, these activations showed time-dependent differences, indicating that the neural mechanisms underlying reward biasing might be different for task-relevant and task-irrelevant stimuli.

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Journal articles on the topic 'Visual space attention'

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