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1

Sinclair, Joshua James. The effects of target type and expectancy on attention, as a function of time and accuracy for a visual search task. Sudbury, Ont: Laurentian University, Department of Psychology, 1997.

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2

1956-, Wright Richard D., ed. Visual attention. New York: Oxford University Press, 1998.

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3

Cantoni, Virginio, Maria Marinaro, and Alfredo Petrosino, eds. Visual Attention Mechanisms. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0111-4.

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4

Zhang, Liming, and Weisi Lin. Selective Visual Attention. Singapore: John Wiley & Sons (Asia) Pte Ltd, 2013. http://dx.doi.org/10.1002/9780470828144.

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5

V, Cantoni, Marinaro M, and Petrosino Alfredo, eds. Visual attention mechanisms. New York: Kluwer Academic/Plenum Publishers, 2002.

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6

Giovanni, Berlucchi, and Rizzolatti G, eds. Selective visual attention. Oxford: Pergamon, 1987.

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7

Cantoni, V. Visual Attention Mechanisms. Boston, MA: Springer US, 2002.

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8

H, Zangemeister W., Stiehl H. S, and Freksa C, eds. Visual attention and cognition. Amsterdam: Elsevier, 1996.

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9

Jochen, Braun, Koch Christof, and Davis Joel L. 1942-, eds. Visual attention and cortical circuits. Cambridge, Mass: MIT Press, 2001.

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10

Attention and time. Oxford: Oxford University Press, 2010.

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11

Wright, Richard D. Orienting of attention. Oxford: Oxford University Press, 2008.

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12

Wright, Richard D. Orienting of attention. Oxford: Oxford University Press, 2008.

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13

Paturkar, R. T. Visual search. Jodhpur: Books Treasure, 2012.

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14

Buck, Brian Hilton. Visual attention deficits in Alzheimer's disease. Ottawa: National Library of Canada, 1996.

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15

A computational perspective on visual attention. Cambridge, Mass: MIT Press, 2011.

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16

Michel, Wedel, and Pieters Rik, eds. Visual marketing: From attention to action. New York: Lawrence Erlbaum Associates, Taylor & Francis Group, 2008.

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17

Zhang, Liming. Selective visual attention: Computational models and applications. Singapore: John Wiley & Sons Inc., 2013.

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18

Visual attention in children: Theories and activities. Thorofare, NJ: SLACK Inc., 2012.

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19

R, Trenerry Max, and Psychological Assessment Resources Inc, eds. Visual search and attention test: Professional manual. Odessa, Fla. (P.O. Box 998, Odessa 33556): Psychological Assessment Resources, 1990.

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20

Selective attention in vision. London: Routledge, 1992.

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21

Thomas, Habekost, ed. Principles of visual attention: Linking mind and brain. Oxford: Oxford University Press, 2008.

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22

Sabine, Maasen, ed. Mechanisms of visual attention: A cognitive neuroscience perspective. East Sussex, UK: Psychology Press, 1998.

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23

McKeating, Roisin L. B. An investigation of distributed attention within visual space. [s.l: The author], 1985.

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24

Cheal, MaryLou. Attention effects on form discrimination at different eccentricities. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1989.

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25

Kramer, Arthur F., Michael G. H. Coles, and Gordon D. Logan, eds. Converging operations in the study of visual selective attention. Washington: American Psychological Association, 1996. http://dx.doi.org/10.1037/10187-000.

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26

J, Brosnan Mark, ed. Cognitive processes: Readings in visual cognition, attention, and memory. Dartford, Kent, U.K: Greenwich University Press, 1996.

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27

Baruni, Jalal Kenji. Mechanisms of attention in visual cortex and the amygdala. [New York, N.Y.?]: [publisher not identified], 2016.

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28

Bundesen, Claus, and Thomas Habekost. Theory of Visual Attention (TVA). Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.024.

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The theory of visual attention introduced by Bundesen (1990) is reviewed. The authors first describe TVA as a formal computational theory of visual attention and summarize applications of TVA to psychological studies of performance (reaction times and error rates) in healthy human subjects. They then explain their neurophysiological interpretation of TVA, NTVA, and exemplify how NTVA accounts for findings from single-cell studies in primates. Finally the authors review how TVA has been applied to study attentional functions in neuropsychological, pharmacological, and genetic research.
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29

Blough, Donald S. Reaction-time Explorations of Visual Perception, Attention, and Decision in Pigeons. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195392661.013.0006.

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30

Lavie, Nilli, and Polly Dalton. Load Theory of Attention and Cognitive Control. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.003.

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Research has highlighted a puzzling discrepancy in our selective attention performance: whereas in some circumstances we are able to be highly selective, at other times we can exhibit high levels of distraction. The load theory of attention and cognitive control provides an explanation for these contrasting observations, proposing that the extent to which people can focus their attention in the face of irrelevant distractions depends on the level and type of information load involved in their current task. According to the theory, the extent to which unattended visual information is perceived depends on the perceptual load of the attended task, such that increasing the level of perceptual load in the task decreases processing of task-irrelevant stimuli. Effective prioritization of task-relevant stimuli in the face of competition from irrelevant distractors is proposed to depend on the availability of executive control functions. Thus, loading executive control results in increased processing of irrelevant stimuli. This chapter presents converging research from a wide range of approaches in support of these proposals, as well as highlighting some of load theory’s wider influences in areas as diverse as emotion processing, developmental psychology, and the understanding of psychological disorders.
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31

Shapiro, Kimron, and Simon Hanslmayr. The Role of Brain Oscillations in the Temporal Limits of Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.037.

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Attention is the ubiquitous construct referring to the ability of the brain to focus resources on a subset of perceptual input which it is trying to process for a response. Attention has for a long time been studied with reference to its distribution across space where, for example, visual input from an attentionally monitored location is given preference over non-monitored (i.e. attended) locations. More recently, attention has been studied for its ability to select targets from among rapidly, sequentially presented non-targets at a fixed location, e.g. in visual space. The present chapter explores this latter function of attention for its relevance to behaviour. In so doing, it highlights what is becoming one of the most popular approaches to studying communication across the brain—oscillations—at various frequency ranges. In particular the authors discuss the alpha frequency band (8–12 Hz), where recent evidence points to an important role in the switching between processing external vs. internal events.
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32

Claus, Bundesen, and Shibuya Hitomi, eds. Visual selective attention. Hove: Lawrence Erlbaum Associates, 1995.

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33

Visual Attention Mechanisms. Springer, 2011.

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34

Cantoni, Virginio, Maria Marinaro, and Alfredo Petrosino. Visual Attention Mechanisms. Springer, 2012.

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35

(Editor), Virginio Cantoni, Maria Marinaro (Editor), and Alfredo Petrosino (Editor), eds. Visual Attention Mechanisms. Springer, 2003.

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36

Goodhew, Stephanie C. Breadth of Visual Attention. Cambridge University Press, 2020.

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37

Visual Attention and Cognition. Elsevier, 1996. http://dx.doi.org/10.1016/s0166-4115(96)x8067-1.

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38

Friedenberg, Jay. Visual Attention and Consciousness. Taylor & Francis Group, 2012.

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39

Friedenberg, Jay. Visual Attention and Consciousness. Psychology Press, 2012. http://dx.doi.org/10.4324/9780203073858.

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40

Visual Attention And Consciousness. Psychology Press, 2012.

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41

Goodhew, Stephanie C. Breadth of Visual Attention. Cambridge University Press, 2020.

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42

Zangemeister, W. H., H. S. Stiehl, and C. Freksa. Visual Attention and Cognition. Elsevier Science & Technology Books, 1996.

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43

Gide, Milind S., and Lina J. Karam. Computational Visual Attention Models. Now Publishers, 2017.

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44

Friedenberg, Jay. Visual Attention and Consciousness. Taylor & Francis Group, 2012.

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45

Friedenberg, Jay. Visual Attention and Consciousness. Taylor & Francis Group, 2012.

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46

Goodhew, Stephanie C. Breadth of Visual Attention. Cambridge University Press, 2020.

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47

Friedenberg, Jay. Visual Attention and Consciousness. Taylor & Francis Group, 2012.

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48

Friedenberg, Jay. Visual Attention and Consciousness. Taylor & Francis Group, 2012.

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49

A.H.C. van der Heijden. Attention in Vision. Routledge, 2015.

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50

Tsotsos, John K. Computational Perspective on Visual Attention. MIT Press, 2021.

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