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Books on the topic 'Selective attention'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 March 2023

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1

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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2

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

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3

Selective attention in vision. London: Routledge, 1992.

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4

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

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5

Ruff, Ronald M. Ruff 2 & 7 selective attention test: Professional manual. Odessa, Fla: Psychological Assessment Resources, 1996.

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6

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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7

F, Kramer Arthur, Coles Michael G. H, and Logan Gordon D, eds. Converging operations in the study of visual selective attention. Washington, DC: American Psychological Association, 1996.

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8

Derro, Florinda Christine. Selective attention in mildly depressed and depressed individuals: Is there a difference? Sudbury, Ont: Laurentian University, Department of Psychology, 1990.

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9

Lange, Wolf Gregor Tobias. Selective attention of individuals with spider-phobia to real threat and safety signals. [s.l: The author], 1999.

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10

Crew, Christopher. The Behavioral and Neural Effects of Rejection Sensitivity on Selective Attention and Feedback-Based Learning. [New York, N.Y.?]: [publisher not identified], 2014.

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11

Machiels-Bongaerts, Maureen. Mobilizing prior knowledge in text processing: The selective-attention hypothesis versus the cognitive set-point hypothesis. [Maastricht]: Universitaire Pers Maastricht, 1993.

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12

Byrne, Joanne. Viewing images of thin females: effects on body dissatisfaction and selective attention to body and food words. (s.l: The Author), 2003.

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13

The neuroscience of attention: Attentional control and selection. New York: Oxford University Press, 2011.

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14

Lee, Warren F. A selective history of the Codornices-University Villiage, the city of Albany & environs: With special attention given to the Richmond Shipyard Railway and the Albany Hill and shoreline. Albuquerque, NM: Belvidere Delaware Railroad Co. Enterprises, 2000.

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15

Proctor, Robert W., and Kim-Phuong L. Vu. Attention: Selection and control in human information processing. Washington: American Psychological Association, 2023. http://dx.doi.org/10.1037/0000317-000.

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16

Dolson, David C. Attentive object recognition in the selective tuning network. Toronto: University of Toronto, Dept. of Computer Science, 1997.

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17

E, Broadbent Donald, Baddeley Alan D. 1934-, and Weiskrantz Lawrence, eds. Attention: Selection, awareness, and control : a tribute to Donald Broadbent. Oxford: Clarendon Press, 1993.

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18

Maschke, Peter. Differentiellpsychologische Analyse eines computergesteuerten audiovisuellen Vigilanztests. Koln: DFVLR, 1988.

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19

Audit Commission for Local Authorities in England and Wales. and Housing Corporation, eds. Competing for attention: Identifying and selecting sites for housing associations new-build development. London: Housing Corporation, 1998.

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20

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

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21

A. H. C. Van Der Heijden. Selective Attention in Vision. Taylor & Francis Group, 1991.

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22

A. H. C. Van Der Heijden. Selective Attention in Vision. Taylor & Francis Group, 2003.

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23

Romans, Ellena. Battlefield : Cognition: Selective Attention. Independently Published, 2019.

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24

Luck, Steven J., and Emily S. Kappenman. ERP Components and Selective Attention. Oxford University Press, 2011. http://dx.doi.org/10.1093/oxfordhb/9780195374148.013.0144.

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25

Wilson, Daryl E. Load effects on selective attention. 2003.

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26

Romans, Ellena. Battlefield: Selective Attention Performance Enhancement. Independently Published, 2019.

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27

Moray, Neville. Attention: Selective Processes in Vision and Hearing. Taylor & Francis Group, 2017.

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28

Zhang, Liming, and Weisi Lin. Selective Visual Attention: Computational Models and Applications. Wiley & Sons, Limited, John, 2013.

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29

Serences, John T., and Sabine Kastner. A Multi-level Account of Selective Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.022.

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Abstract:

To achieve behavioural goals, relevant sensory stimuli must be processed more quickly and reliably than irrelevant distracters. The ability to prioritize relevant over irrelevant stimuli is usually referred to as selective information processing, or selective attention. Over the last 50–60 years, there has been an ongoing debate about the point along the sensory–response processing stream at which selective attention operates: are relevant and irrelevant inputs segregated early in processing based on low-level featural differences, or does this segregation occur late in processing after the meaning of each stimulus has been computed? As with nearly all dichotomies in psychology, the emerging consensus is that neither extreme is correct. Instead, depending on task demands, the mechanisms of selective attention can flexibly operate on the quality of low-level sensory representations as well as on later stages of semantic analysis and decision-making.

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30

Zhang, Liming, and Weisi Lin. Selective Visual Attention: Computational Models and Applications. Wiley & Sons, Incorporated, John, 2013.

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31

(Editor), J. Driver, and R. S. J. Frackowiak (Editor), eds. Imaging Selective Attention In The Human Brain. Elsevier, 2001.

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32

Attention: Selective Processes in Vision and Hearing. Taylor & Francis Group, 2017.

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33

Moray, Neville. Attention: Selective Processes in Vision and Hearing. Taylor & Francis Group, 2017.

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34

Zhang, Liming, and Weisi Lin. Selective Visual Attention: Computational Models and Applications. Wiley & Sons, Incorporated, John, 2013.

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35

Zhang, Liming, and Weisi Lin. Selective Visual Attention: Computational Models and Applications. Wiley & Sons, Incorporated, John, 2013.

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36

Zhang, Liming, and Weisi Lin. Selective Visual Attention: Computational Models and Applications. Wiley & Sons, Incorporated, John, 2013.

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37

Kuhl, Brice A., and Marvin Chun. Memory and Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.034.

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A primary theme in attention research is that there is too much information in our environment for everything to be processed and, as a consequence, information processing is selective. This chapter reviews various properties of memory from the perspective of selective attention. It argues that the ways in which we form, retrieve, and work with our memories largely represent acts of attention. One obvious advantage of framing mnemonic processes as attentional phenomena is that it underscores the processing limits that are central to memory and the necessity of selection. Another advantage is that this framework can aid our understanding of the neural mechanisms that guide memory and their relation to neural mechanisms of perceptual attention.

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38

Vargo, Janet M. Attention deficits and recovery following selective brain lesions. 1992.

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39

Harvey, Allison G., Edward Watkins, Warren Mansell, and Roz Shafran. Attention. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780198528883.003.0002.

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This chapter explores attention. It defines the key concepts within attention research (selective attention, self-focused attention), and reviews evidence across psychological disorders with a particular focus on determining the extent to which attentional processes are truly transdiagnostic, and/or whether they are distinct to particular disorders (including anxiety disorders, phobias, somatoform disorders, sexual disorders, eating disorders, sleep disorders, mood disorders, psychotic disorders, and substance-related disorders).

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40

Lack, Leon Colburn. Selective Attention and the Control of Binocular Rivalry. De Gruyter, Inc., 2019.

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41

Micallef, John J. The neuropsychology of selective attention difficulties in dyslexia. 1993.

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42

Micallef, John Joseph. The neuropsychology of selective attention difficulties in dyslexia. 1993.

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43

Ganeri, Jonardon. Working Memory and Attention. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198757405.003.0010.

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Increasingly it is recognized that selection is not the only function of attention; rather, ‘attention gates what comes to be encoded into short-term memory, helps maintain information in short-term memory, and dynamically modulates the information being maintained’ (Nobre and Kastner 2014: 1215; my italics). Recent empirical literature affirms the existence of early and late selective attention as distinct attentional phenomena but points to a dissociation between selective attention of either sort and maintenance of information in working memory. This chapter will demonstrate that the Buddhist concept of javana ‘running’ is a concept of working memory and that all the processes in Buddhaghosa’s pathway to consciousness are associated with functional roles that are actually realized by recognized entities in psychology and neuroscience.

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44

Morrison, Sylvia Ruth. Sustained and selective attention in subtypes of learning disabilities and attention deficit disorders. 1992.

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45

Morrison, Sylvia R. Sustained and selective attention in subtypes of learning disabilities and attention deficit disorders. 1992.

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46

Yu, Angela J. Bayesian Models of Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.025.

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Traditionally, attentional selection has been thought of as arising naturally from resource limitations, with a focus on what might be the most apt metaphor, e.g. whether it is a ‘bottleneck’ or ‘spotlight’. However, these simple metaphors cannot account for the specificity, flexibility, and heterogeneity of the way attentional selection manifests itself in different behavioural contexts. A recent body of theoretical work has taken a different approach, focusing on the computational needs of selective processing, relative to environmental constraints and behavioural goals. They typically adopt a normative computational framework, incorporating Bayes-optimal algorithms for information processing and action selection. This chapter reviews some of this recent modelling work, specifically in the context of attention for learning, covert spatial attention, and overt spatial attention.

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47

Schroeder, Charles E., Jose L. Herrero, and Saskia Haegens. Neuronal Dynamics and the Mechanistic Bases of Selective Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.031.

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Selective attention is a process by which the brain enhances its representation of task relevant, over irrelevant information. This ‘active control’ is essential to normal perception and cognition because it enables information processing to adapt to the immediate goals of the observer. This chapter places the focuses on recent conceptual/empirical developments in four areas that the authors think have significantly advanced the discussion and debate on the mechanistic underpinnings of selective attention: (1) the role of neuronal oscillations, (2) the distinctions between differing modes of dynamic operation, (3) potentially unique roles of specific oscillatory frequencies, (4) the neurochemistry of attention. The authors end by replacing attention within an ‘active sensing’ framework, and posing a set of prime questions for future study.

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48

Oberem, Josefa. Examining Auditory Selective Attention: From Dichotic Towards Realistic Environments. Logos Verlag Berlin, 2020.

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49

Carrasco, Marisa. Spatial Covert Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.004.

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This review focuses on how covert attention modulates perception. It explains why attention is considered a selective process, the constructs of covert attention, and spatial endogenous and exogenous attention. This review includes the effects of spatial attention on discriminability and appearance in tasks mediated by contrast sensitivity and spatial resolution.

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50

Eimer, Martin. The Time Course of Spatial Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.006.

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Event-related brain potential (ERP) measures have made important contributions to our understanding of the mechanisms of selective attention. This chapter provides a selective and non-technical review of some of these contributions. It will concentrate mainly on research that has studied spatially selective attentional processing in vision, although research on crossmodal links in spatial attention will also be discussed. The main purpose of this chapter is to illustrate how ERP methods have helped to provide answers to major theoretical questions that have shaped research on selective attention in the past 40 years.

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