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Books on the topic 'Cortex in visual stimulus'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

1929-, Peters Alan, ed. The cat primary visual cortex. San Diego: Academic Press, 2002.

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2

Peters, Alan, and Kathleen S. Rockland, eds. Primary Visual Cortex in Primates. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-9628-5.

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3

Harris, Jessica M. Visual cortex: Anatomy, functions, and injuries. Hauppauge, N.Y: Nova Science Publishers, 2011.

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4

Suner, Ivan Jose. Influences of the lateral geniculate nucleus in the specification of primary visual cortex in macaca mulatta. [s.l: s.n.], 1992.

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5

A vision of the brain. Oxford: Blackwell Scientific Publications, 1993.

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6

Bedford, James Lewis. Neuro-electromagnetic imaging of the human visual cortex. Birmingham: Aston University. Department of Vision Sciences, 1995.

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7

A, Goodale Melvyn, ed. The visual brain in action. Oxford: Oxford University Press, 1995.

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8

Tovée, Martin J. The speed of thought: Information processing in the cerebral cortex. Berlin: Springer, 1998.

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9

Andrei, Gorea, ed. Representations of vision: Trends and tacit assumptions in vision research. Cambridge [England]: Cambridge University Press, 1991.

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10

Popp, Michael M. Spontanaktivität, Latenzen und Assemblies: Latenzmessungen als Beitrag zur Analyse der Verarbeitung im primären visuellen Cortex. Regensburg: S. Roderer, 1988.

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11

Retina Research Foundation (U.S.). Symposium. Neural mechanisms of visual perception: Proceedings of the Second Retina Research Foundation Symposium, 14 & 15 April 1989, the Woodlands, Texas. Edited by Lam Dominic Man-Kit and Gilbert Charles D. 1949-. Woodlands, Tex: Portfolio Pub. Co., 1989.

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12

International Symposium on Attention and Performance (20th 2002 Erice, Italy). Functional neuroimaging of visual cognition. Oxford: Oxford University Press, 2004.

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13

Hitoshi, Sasaki. Dual processing model of visual information: Cortical and subcortical processing. Hauppauge, N.Y: Nova Science Publishers, 2009.

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14

Zeki, Semir. Colour vision and functional specialisation in the visual cortex. Geneva: Elsevier for the Foundation for the Study of the Nervous System, 1990.

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15

Orban, Guy A. La vision, mission du cerveau: Les trois révolutions des neurosciences. Paris: Fayard, 2007.

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16

Petitot, Jean. Neurogéométrie de la vision: Modèles mathématiques et physiques des architectures fonctionnelles. [Palaiseau]: Les Éditions de l'École Polytechnique, 2008.

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17

GI-Fachgruppe 1.0.4 Bildverstehen. Workshop. Aktives Sehen in technischen und biologischen Systemen: Beiträge zum Workshop der GI-Fachgruppe 1.0.4. Bildverstehen, 3. und 4. Dezember 1996, Hamburg. Sankt Augustin: Infix, 1996.

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18

Wandell, Brian A. Foundations of vision. Sutherland, Mass: Sinauer, 1995.

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19

Foundations of vision. Sunderland, Mass: Sinauer Associates, 1995.

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20

Kukkonen, Helja Tuulikki. Effects of pixel noise and stimulus structure on visual detection performance. Birmingham: Aston University. Department of Vision Sciences, 1994.

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21

Engel, Andreas K. Zeitliche Kodierung in neuronalen Netzen: Evidenz für kohärente Aktivität im Sehsystem. Münster: Lit, 1996.

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22

Plasticity in sensory systems. Cambridge: Cambridge University Press, 2013.

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23

Tucker, Lannie G. Fractionated reaction time and movement time in response to a visual stimulus. Eugene: Microform Publications, College of Human Development and Performance, University of Oregon, 1985.

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24

Cohen, Marlene R., and John H. R. Maunsell. Neuronal Mechanisms of Spatial Attention in Visual Cerebral Cortex. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.007.

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Attention is associated with improved performance on perceptual tasks and changes in the way that neurons in the visual system respond to sensory stimuli. While we now have a greater understanding of the way different behavioural and stimulus conditions modulate the responses of neurons in different cortical areas, it has proven difficult to identify the neuronal mechanisms responsible for these changes and establish a strong link between attention-related modulation of sensory responses and changes in perception. Recent conceptual and technological advances have enabled progress and hold promise for the future. This chapter focuses on newly established links between attention-related modulation of visual responses and bottom-up sensory processing, how attention relates to interactions between neurons, insights from simultaneous recordings from groups of cells, and how this knowledge might lead to greater understanding of the link between the effects of attention on sensory neurons and perception.

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25

The Representation of Complex Stimuli in the Primate Visual Cortex (Neuroscience Intelligence Unit Series). International Thomson Publishing Services, 1998.

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26

Beck, Diane M., and Sabine Kastner. Neural Systems for Spatial Attention in the Human Brain. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.011.

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Spatial attention has been studied for over a half a century. Early behavioural work showed that attending to a location improves performance on a variety of tasks. Since then substantial progress has been made on understanding the neural mechanisms underlying these effects. This chapter reviews the neuroimaging literature, as well as related behavioural and single-cell physiology studies, on visual spatial attention. In particular, the chapter frames much of the work in the context of the biased competition theory of attention, which argues that a primary mechanism of attention is to bias competition among stimuli in the visual cortex in favour of an attended stimulus that, as a result, receives enhanced processing to guide behaviour. Accordingly, the authors have organized this chapter into two related sections. The first summarizes the effects of attention in the visual cortex and thalamus, the so-called ‘site’ of attention. The second explores the relationship between attention and fronto-parietal mechanisms which are thought to be the ‘source’ of the biasing signals exerted on the visual cortex.

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27

Georgeson, Mark. The Graph-Paper Effect. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0107.

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Most visual illusions involve distorted or altered perception of objects or events or misinterpretation of image information. The discrepancy between what we experience and what is physically present in the world or in the retinal image can be large, surprising, and dramatic. It is much rarer to see things that simply are not there at all. Repetitive stimuli, such as grating patterns or flickering lights, can induce perception of a range of illusory geometric patterns, forms, and movements—during or after exposure to the inducing stimulus. This chapter describes one such illusory phenomenon—the graph-paper effect—a striking illusion of moving, oriented lines and edges; links it to a family of related effects; and offers a general theory for these effects in terms of neural inhibition and disinhibition at the level of the visual cortex.

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28

Treue, Stefan. Object- and Feature-Based Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.008.

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The allocation of selective visual attention to a particular region of visual space has been attention’s most-studied variant. But attention can also be allocated to features, such as a particular colour or direction of motion. Studies from the visual cortex of rhesus monkeys have revealed a gain modulation across visual space that enhances the response of neurons that show a preference for the attended feature and a reduced responsiveness of those neurons tuned to the opposite feature. Such studies have also provided evidence for object-based attention, where the attentional enhancement of a neural representation affects the complex amalgamation of features that make up an object. All these forms of visual attention together create an integrated saliency map or priority map, that is, an integrated representation of relative stimulus strength and behavioural relevance across visual space that underlies our perception of the environment.

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29

Gori, Simone. The Rotating Tilted Lines Illusion. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0066.

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This chapter describes the Rotating-Tilted-Lines illusion , which is a new motion illusion that arises in a circular pattern composed by black, radial lines tilted to the right and presented on a white background. When one approaches the stimulus pattern, the radial lines appear to rotate in the counterclockwise direction, whereas when one recedes from it, they appear to rotate clockwise. It is the simplest pattern able to elicit illusory rotatory motion in presence of physical radial expansion. This surprising misperception of motion seems to be a result of the competition between two motion processing units in the primary visual cortex (V1, V5)

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30

Cerebral Cortex: Volume 3: Visual Cortex (Cerebral Cortex). Springer, 1985.

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31

(Editor), Kathleen S. Rockland, Jon H. Kaas (Editor), and Alan Peters (Editor), eds. Cerebral Cortex: Volume 12: Extrastriate Cortex in Primates (Cerebral Cortex). Springer, 1998.

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32

A, Portocello Thomas, and Velloti Rudolph B, eds. Visual cortex: New research. New York: Nova Science Publishers, 2008.

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33

1929-, Peters Alan, and Rockland Kathleen S, eds. Cerebral cortex. New York: Plenum Press, 1994.

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34

Rose, David, 1946 Jan. 13- and Dobson Vernon G, eds. Models of the visual cortex. Chichester: Wiley, 1985.

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35

(Editor), Bertram Payne, and Alan Peters (Editor), eds. The Cat Primary Visual Cortex. Academic Press, 2001.

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36

Models of the visual cortex. Chichester: Wiley, 1985.

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37

1929-, Peters Alan, and Rockland, Kathleen Linda Skiba, 1947-, eds. Primary visual cortex in primates. New York: Plenum Press, 1994.

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38

Poggio, Tomaso A., and Fabio Anselmi. Visual Cortex and Deep Networks. The MIT Press, 2016. http://dx.doi.org/10.7551/mitpress/10177.001.0001.

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39

The Cat Primary Visual Cortex. Elsevier, 2002. http://dx.doi.org/10.1016/b978-0-12-552104-8.x5000-7.

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40

Peters, Alan. Cerebral Cortex: Volume 10 Primary Visual Cortex In Primates. Springer, 2013.

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41

(Editor), Alan Peters, and Kathleen S. Rockland (Editor), eds. Primary Visual Cortex in Primates (Cerebral Cortex) VOL. 10. Springer, 1994.

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42

Clark, Kelsey L., Behrad Noudoost, Robert J. Schafer, and Tirin Moore. Neuronal Mechanisms of Attentional Control. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.010.

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Covert spatial attention prioritizes the processing of stimuli at a given peripheral location, away from the direction of gaze, and selectively enhances visual discrimination, speed of processing, contrast sensitivity, and spatial resolution at the attended location. While correlates of this type of attention, which are believed to underlie perceptual benefits, have been found in a variety of visual cortical areas, more recent observations suggest that these effects may originate from frontal and parietal areas. Evidence for a causal role in attention is especially robust for the Frontal Eye Field, an oculomotor area within the prefrontal cortex. FEF firing rates have been shown to reflect the location of voluntarily deployed covert attention in a variety of tasks, and these changes in firing rate precede those observed in extrastriate cortex. In addition, manipulation of FEF activity—whether via electrical microstimulation, pharmacologically, or operant conditioning—can produce attention-like effects on behaviour and can modulate neural signals within posterior visual areas. We review this evidence and discuss the role of the FEF in visual spatial attention.

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43

Computational Maps in the Visual Cortex. Springer, 2005.

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44

Computational Maps in the Visual Cortex. New York: Springer-Verlag, 2005. http://dx.doi.org/10.1007/0-387-28806-6.

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45

Molotchnikoff, Stephane, ed. Visual Cortex - Current Status and Perspectives. InTech, 2012. http://dx.doi.org/10.5772/3018.

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46

Rockland, Kathleen Linda Skiba, 1947-, Kass Jon H, and Peters Alan 1929-, eds. Extrastriate cortex in primates. New York: Plenum Press, 1997.

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47

Milner, David, and Mel Goodale. The Visual Brain in Action (Oxford Psychology Series). 2nd ed. Oxford University Press, USA, 2006.

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48

(Editor), Jochen Braun, Christof Koch (Editor), and Joel L. Davis (Editor), eds. Visual Attention and Cortical Circuits (Bradford Books). The MIT Press, 2001.

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49

Balázs, Gulyás, Ottoson David 1918-, and Roland Per E, eds. Functional organisation of the human visual cortex. Oxford [England]: Pergamon Press, 1993.

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50

Functional Organisation of the Human Visual Cortex. Elsevier, 1993. http://dx.doi.org/10.1016/c2009-0-34756-x.

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