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Libros sobre el tema "Celle visuali"

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Publicado: 10 de marzo de 2023

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1

Hilfer, S. Robert y Joel B. Sheffield, eds. Cell Interactions in Visual Development. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3920-8.

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2

Robert, Hilfer S., Sheffield Joel B y Symposium on Ocular and Visual Development (11th : 1987 : Temple University), eds. Cell interactions in visual development. New York: Springer-Verlag, 1988.

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3

Flow cytometry in hematopathology: A visual approach to data analysis and interpretation. 2a ed. Totowa, NJ: Humana Press, 2007.

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4

iPhone visual quick tips. Indianapolis, IN: Wiley, 2008.

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5

Nguyen, Doyen T. Flow cytometry in hematopathology: A visual approach to data analysis and interpretation. Totowa, NJ: Humana Press, 2002.

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6

Nguyen, Doyen T. Flow cytometry in hematopathology: A visual approach to data analysis and interpretation. Totowa, NJ: Humana Press, 2003.

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7

B, Sheffield Joel, Hilfer S. Robert y Symposium on Ocular and Visual Development (9th : 1984 : Philadelphia, Pa.), eds. Development of order in the visual system. New York: Springer-Verlag, 1986.

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8

M, Shapley R. y Lam Dominic Man-Kit, eds. Contrast sensitivity. Cambridge, Mass: MIT Press, 1993.

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9

Visual population codes: Toward a common multivariate framework for cell recording and functional imaging. Cambridge, Mass: MIT Press, 2011.

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10

1957-, Castellano Bernardo y Nieto-Sampedro Manuel 1944-, eds. Glial cell function. Amsterdam: Elsevier, 2001.

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11

Giménez, Andrés Molina. Las antenas de telefonía movil: Régimen jurídico : análisis de los impactos visuales y radioeléctricos en las comunicaciones móviles. Cizur Menor, Navarra: Aranzadi, 2002.

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12

Raza, Ali Syed. Modeling the Structure-Function Relationship between Retinal Ganglion Cells and Visual Field Sensitivity and the Changes Due to Glaucomatous Neuropathy. [New York, N.Y.?]: [publisher not identified], 2014.

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13

Ray, Nanney T. y Porter Hayden, eds. Exploring Macintosh: Concepts in visually oriented computing. New York: J. Wiley, 1989.

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14

1938-, Hargrave P. A., Hofmann K. P. 1943-, Kaupp U. B. 1949- y International Symposium on Signal Transduction in Photoreceptor Cells (1990 : Forschungszentrum Jülich), eds. Signal transduction in photoreceptor cells: Proceedings of an international workshop, held at the Research Centre Jülich, Jülich, Fed. Rep. of Germany, 8-11 August 1990. Berlin: Springer-Verlag, 1992.

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15

Abernethy, Ken. Exploring macintosh: Projects and applications; concepts in visually orientated computing; computing. Chichester: Wiley, 1991.

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16

NATO Advanced Research Workshop on the Changing Visual System: From Early to Late Stages of Life--Maturation and Aging in the Central Nervous System (1991 San Martino al Cimino, Italy). The changing visual system: Maturation and aging in the central nervous system. New York: Plenum Press, 1991.

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17

B, Dunnett S. y Björklund Anders 1945-, eds. Functional neural transplantation II: Novel cell therapies for CNS disorders. Amsterdam: Elsevier, 2000.

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18

MacDonald, Matthew. Pro Silverlight 3 in VB. New York: Apress, 2009.

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19

The silicon eye. New York: W.W. Norton & Co., 2005.

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20

V, Papathomas Thomas, ed. Early vision and beyond. Cambridge, Mass: MIT Press, 1995.

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21

Takao, Kumazawa, Kruger Lawrence y Mizumura Kazue, eds. The polymodal receptor: A gateway to pathological pain. Amsterdam: Elsevier, 1996.

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22

Challoner, Jack. The cell: A visual tour of the building block of life. The University of Chicago Press, 2015.

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23

Sheffield, S. Robert Hilfer Joel B. Cell Interactions in Visual Development. Springer, 2011.

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24

Sheffield, Joel y S. Robert Hilfer. Cell Interactions in Visual Development. Springer London, Limited, 2012.

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25

Skeletal Muscle Muscular Dystrophy A Visual Approach. Morgan & Claypool Publishers, 2011.

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26

Reinier, Benoit. Heart of Dead Cells: A Visual Making-Of. Third Editions, 2019.

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27

Erdem, Uğur Murat, Nicholas Roy, John J. Leonard y Michael E. Hasselmo. Spatial and episodic memory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0029.

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The neuroscience of spatial memory is one of the most promising areas for developing biomimetic solutions to complex engineering challenges. Grid cells are neurons recorded in the medial entorhinal cortex that fire when rats are in an array of locations in the environment falling on the vertices of tightly packed equilateral triangles. Grid cells suggest an exciting new approach for enhancing robot simultaneous localization and mapping (SLAM) in changing environments and could provide a common map for situational awareness between human and robotic teammates. Current models of grid cells are well suited to robotics, as they utilize input from self-motion and sensory flow similar to inertial sensors and visual odometry in robots. Computational models, supported by in vivo neural activity data, demonstrate how grid cell representations could provide a substrate for goal-directed behavior using hierarchical forward planning that finds novel shortcut trajectories in changing environments.
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28

Neural Mechanisms of Color Vision: Double-Opponent Cells in the Visual Cortex. Kluwer Academic, 2002.

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29

Conway, Bevil Richard. Neural Mechanisms of Color Vision: Double-Opponent Cells in the Visual Cortex. Springer London, Limited, 2013.

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30

(Editor), Arne Valberg y Barry B. Lee (Editor), eds. From Pigments to Perception:: Advances in Understanding the Visual Process (Nato Science Series: A:). Springer, 1991.

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31

Bundesen, Claus y Thomas Habekost. Theory of Visual Attention (TVA). Editado por Anna C. (Kia) Nobre y 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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32

Pardee, Joel D. Understanding Breast Cancer: Cell Biology and Therapy -- a Visual Approach. Morgan & Claypool Life Science Publishers, 2011.

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33

Pardee, Joel D. Understanding Breat Cancer: Cell Biology and Therapy - A Visual Approach. Morgan & Claypool Life Science Publishers, 2011.

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34

Challoner, Jack. Cell: A Visual Tour of the Building Block of Life. University of Chicago Press, 2015.

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35

Development of Order in the Visual System. Springer, 2011.

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36

Hilfer, S. Robert y Joel B. Sheffield. Development of Order in the Visual System. Springer, 2011.

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37

Conway, Bevil R. Neural Mechanisms of Color Vision: Double-Opponent Cells in the Visual Cortex. Springer, 2010.

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38

(Editor), B. P. Gloor, ed. Visual Field in Glaucoma Cellular Proliferation (Developments in Ophthalmology). S. Karger AG (Switzerland), 1985.

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39

Hilfer, S. Robert y Joel B. Sheffield. Development of Order in the Visual System. Springer London, Limited, 2012.

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40

Tobacco, Violet y Anne Rooney. Visual Timelines : Life on Earth: From the First Cells to the Modern World. Arcturus Publishing, 2023.

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41

Anderson, James A. The Brain Doesn’t Work by Logic. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.003.0008.

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This chapter gives three examples of real neural computation. The conclusion is that the “brain doesn’t work by logic.” First, is the Limulus (horseshoe crab) lateral eye. The neural process of “lateral inhibition” tunes the neural response of the compound eye to allow crabs to better see other crabs for mating. Second, the retina of the frog contains cells that are selective to specific properties of the visual image. The frog responds strongly to the moving image of a bug with one class of selective retinal receptors. Third, experiments on patients undergoing neurosurgery for epilepsy found single neurons in several cortical areas that were highly selective to differing images, text strings, and spoken names of well-known people. In addition, new selective responses could be formed quickly. The connection to concepts in cognitive science seems inevitable. One possible mechanism is through associatively linked “cell assemblies.”
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42

Gottlieb, Jacqueline. Neuronal Mechanisms of Attentional Control. Editado por Anna C. (Kia) Nobre y Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.033.

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Damage to the human inferior parietal lobe produces an attentional disturbance known as contralateral neglect, and neurophysiological studies in monkeys have begun to unravel the cellular basis of this function. Converging evidence suggests that LIP encodes a sparse topographic map of the visual world that highlights attention-worthy objects or locations. LIP cells may facilitate sensory attentional modulations, and ultimately the transient improvement in perceptual thresholds that is the behavioural signature of visual attention. In addition, LIP projects to oculomotor centres where it can prime the production of a rapid eye movement (saccade). Importantly, LIP cells can select visual targets without triggering saccades, showing that they implement an internal (covert) form of selection that can be flexibly linked with action by virtue of additional, independent mechanisms. The target selection response in LIP is modulated by bottom-up factors and by multiple task-related factors. These modulations are likely to arise through learning and may reflect a multitude of computations through which the brain decides when and to what to attend.
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43

Thorpe, Simon J., Gabriel Kreiman, Nikolaus Kriegeskorte y Nikolaus Kriegeskorte. Visual Population Codes: Toward a Common Multivariate Framework for Cell Recording and Functional Imaging. MIT Press, 2011.

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44

Cohen, Marlene R. y John H. R. Maunsell. Neuronal Mechanisms of Spatial Attention in Visual Cerebral Cortex. Editado por Anna C. (Kia) Nobre y 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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45

(Editor), Doyen T. Nguyen, Lawrence W. Diamond (Editor) y Raul C. Braylan (Editor), eds. Flow Cytometry in Hematopathology: A Visual Approach to Data Analysis and Interpretation (Current Clinical Pathology). Humana Press, 2002.

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46

Text me. London: Viking, 2000.

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47

Ehrlich, Benjamin. Cajal and Dream Research. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190619619.003.0003.

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Cajal published a total of about three hundred and fifty scientific articles. The majority of these are concerned with the structure of the nervous system, six of them are on the subject of psychology, and only a single one is on dreaming. Although he did not value the content of dreams, Cajal was fascinated by their neurobiological mechanisms. During sleep, the cells throughout the brain that are hyperactive during daytime operations—especially those responsible for “the critical faculty”—are exhausted and rest; meanwhile, the fresh cells that store unused impressions are free to perform their gymnastics, randomly synthesizing their impulses. Through analysis of thousands of dreams through visual dreaming in a technique he referred to as “the introspective method,” he concluded that there was no involvement from any cells in the retina. This avant-garde finding reflects our contemporary thinking about dreaming.
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48

Völgyi, Béla, Garrett T. Kenyon, David W. Marshak y Botir Sagdullaev, eds. Encoding Visual Features by Parallel Ganglion Cell Initiated Pathways in the Healthy, Diseased and Artificial Retina. Frontiers Media SA, 2019. http://dx.doi.org/10.3389/978-2-88963-105-6.

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49

Beck, Diane M. y Sabine Kastner. Neural Systems for Spatial Attention in the Human Brain. Editado por Anna C. (Kia) Nobre y 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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50

Zrenner, E. Neurophysiological Aspects of Color Vision in Primates: Comparative Studies on Simian Retinal Ganglion Cells and the Human Visual System. Springer Berlin / Heidelberg, 2012.

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