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Статті в журналах з теми "Visual area"

Автор: Grafiati

Опубліковано: 11 березня 2023

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1

Newsome, William T., John H. R. Maunsell, and David C. van Essen. "Ventral posterior visual area of the macaque: Visual topography and areal boundaries." Journal of Comparative Neurology 252, no. 2 (1986): 139–53. http://dx.doi.org/10.1002/cne.902520202.

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2

Papatheodorou, Sotiris, Anthony Tzes, and Yiannis Stergiopoulos. "Collaborative visual area coverage." Robotics and Autonomous Systems 92 (June 2017): 126–38. http://dx.doi.org/10.1016/j.robot.2017.03.005.

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3

Wadlow, Maria G. "Special Interest Areas: VISUAL INTERACTION DESIGN SPECIAL INTEREST AREA." ACM SIGCHI Bulletin 25, no. 1 (1993): 52–53. http://dx.doi.org/10.1145/157203.1048703.

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4

Kaas, Jon H., and Leah A. Krubitzer. "Area 17 lesions deactivate area MT in owl monkeys." Visual Neuroscience 9, no. 3-4 (1992): 399–407. http://dx.doi.org/10.1017/s0952523800010804.

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Анотація:

AbstractThe middle temporal visual area, MT, is one of three major targets of the primary visual cortex, area 17, in primates. We assessed the contribution of area 17 connections to the responsiveness of area MT neurons to visual stimuli by first mapping the representation of the visual hemifield in MT of anesthetized owl monkeys with microelectrodes, ablating an electrophysiologically mapped part of area 17, and then immediately remapping MT. Before the lesions, neurons at recording sites throughout MT responded vigorously to moving slits of light and other visual stimuli. In addition, the re

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5

Cohen, Laurent, Stanislas Dehaene, Lionel Naccache, et al. "The visual word form area." Brain 123, no. 2 (2000): 291–307. http://dx.doi.org/10.1093/brain/123.2.291.

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6

Kienitz, Ricardo, Kleopatra Kouroupaki, and Michael C. Schmid. "Microstimulation of visual area V4 improves visual stimulus detection." Cell Reports 40, no. 12 (2022): 111392. http://dx.doi.org/10.1016/j.celrep.2022.111392.

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7

Masafumi, Tanaka, and Creutzfeldt Otto Detlev. "Visual properties of neurons in the prelunate visual area." Neuroscience Research Supplements 7 (January 1988): S210. http://dx.doi.org/10.1016/0921-8696(88)90428-8.

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8

Galletti, Claudio, Patrizia Fattori, Michela Gamberini, and Dieter F. Kutz. "The cortical visual area V6: brain location and visual topography." European Journal of Neuroscience 11, no. 11 (1999): 3922–36. http://dx.doi.org/10.1046/j.1460-9568.1999.00817.x.

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9

Rockland, Kathleen S. "Visual System: Prostriata — A Visual Area Off the Beaten Path." Current Biology 22, no. 14 (2012): R571—R573. http://dx.doi.org/10.1016/j.cub.2012.05.030.

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10

Sawa, Fumi. "Visual Area Networking by OpenGL Vizserver." Journal of the Visualization Society of Japan 22, no. 1Supplement (2002): 177–78. http://dx.doi.org/10.3154/jvs.22.1supplement_177.

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11

Pasupathy, Anitha, Dina V. Popovkina, and Taekjun Kim. "Visual Functions of Primate Area V4." Annual Review of Vision Science 6, no. 1 (2020): 363–85. http://dx.doi.org/10.1146/annurev-vision-030320-041306.

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Анотація:

Area V4—the focus of this review—is a mid-level processing stage along the ventral visual pathway of the macaque monkey. V4 is extensively interconnected with other visual cortical areas along the ventral and dorsal visual streams, with frontal cortical areas, and with several subcortical structures. Thus, it is well poised to play a broad and integrative role in visual perception and recognition—the functional domain of the ventral pathway. Neurophysiological studies in monkeys engaged in passive fixation and behavioral tasks suggest that V4 responses are dictated by tuning in a high-dimensio

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12

Wadlow, Maria G. "Visual interaction design special interest area." ACM SIGCHI Bulletin 25, no. 4 (1993): 67. http://dx.doi.org/10.1145/170870.170900.

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13

Wadlow, Maria G. "VISUAL INTERACTION DESIGN SPECIAL INTEREST AREA." ACM SIGCHI Bulletin 25, no. 3 (1993): 71–74. http://dx.doi.org/10.1145/155786.1053754.

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14

Wadlow, Maria G. "Visual interaction design special interest area." ACM SIGCHI Bulletin 25, no. 2 (1993): 65–66. http://dx.doi.org/10.1145/155804.155819.

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15

Weizman, L., and J. Goldberger. "Urban-Area Segmentation Using Visual Words." IEEE Geoscience and Remote Sensing Letters 6, no. 3 (2009): 388–92. http://dx.doi.org/10.1109/lgrs.2009.2014400.

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16

Shum, J., D. Hermes, B. L. Foster, et al. "A Brain Area for Visual Numerals." Journal of Neuroscience 33, no. 16 (2013): 6709–15. http://dx.doi.org/10.1523/jneurosci.4558-12.2013.

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17

Kemp, Simon, and Clare Lange. "Recognition and recall of visual area." British Journal of Psychology 84, no. 1 (1993): 85–99. http://dx.doi.org/10.1111/j.2044-8295.1993.tb02464.x.

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18

Wang, Quanxin, and Andreas Burkhalter. "Area map of mouse visual cortex." Journal of Comparative Neurology 502, no. 3 (2007): 339–57. http://dx.doi.org/10.1002/cne.21286.

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19

Kennedy, H., K. A. C. Martin, G. A. Orban, and D. Whitteridge. "Receptive field properties of neurones in visual area 1 and visual area 2 in the baboon." Neuroscience 14, no. 2 (1985): 405–15. http://dx.doi.org/10.1016/0306-4522(85)90300-8.

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20

Hall, Nathan J., and Carol L. Colby. "Remapping for visual stability." Philosophical Transactions of the Royal Society B: Biological Sciences 366, no. 1564 (2011): 528–39. http://dx.doi.org/10.1098/rstb.2010.0248.

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Анотація:

Visual perception is based on both incoming sensory signals and information about ongoing actions. Recordings from single neurons have shown that corollary discharge signals can influence visual representations in parietal, frontal and extrastriate visual cortex, as well as the superior colliculus (SC). In each of these areas, visual representations are remapped in conjunction with eye movements. Remapping provides a mechanism for creating a stable, eye-centred map of salient locations. Temporal and spatial aspects of remapping are highly variable from cell to cell and area to area. Most neuro

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21

Asyva, Ramadhyna Prameswari, Qurrotu 'Aini Besila, Rini Fitri, and Titiek Debora. "Visual Landscape Study with the Visual Resources Assessment Procedure Method at Pekanbaru City Government Offices." Journal of Synergy Landscape 2, no. 1 (2022): 35–44. http://dx.doi.org/10.25105/tjsl.v2i1.14857.

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Анотація:

Pekanbaru City Government Office is a central office area as the city's central image that accommodates all government facilities, facilities, and infrastructure. This area has natural and artificial potential for design development in the area. The situation in terms of the landscape in this area is the lack of assessment and utilization of the visual aesthetic potential of the landscape in the Pekanbaru City Government Office area. The purpose of this study is to determine the visual aesthetic potential of the site by utilizing and optimizing natural and artificial visuals. This study uses a

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22

Zeki, S. "Thirty years of a very special visual area, Area V5." Journal of Physiology 557, no. 1 (2004): 1–2. http://dx.doi.org/10.1113/jphysiol.2004.063040.

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23

Wimmer, Heinz, Philipp Ludersdorfer, Fabio Richlan, and Martin Kronbichler. "Visual Experience Shapes Orthographic Representations in the Visual Word Form Area." Psychological Science 27, no. 9 (2016): 1240–48. http://dx.doi.org/10.1177/0956797616657319.

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24

Lobo, Michele, and Sara Kindo. "Entangled bodies and visual ethnographies: Encounters in more‐than‐human worlds." Area 53, no. 2 (2021): 198–200. http://dx.doi.org/10.1111/area.12721.

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25

Grigonis, Antony M., Rosemary B. Rayos Del Sol-Padua, and E. Hazel Murphy. "Visual callosal projections in the adult ferret." Visual Neuroscience 9, no. 1 (1992): 99–103. http://dx.doi.org/10.1017/s0952523800006398.

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Анотація:

AbstractThe laminar and tangential organization of visual callosal projections of areas 17 and 18 were investigated in the adult ferret, using histochemical methods to visualize axonally transported horseradish peroxidase (HRP). Normal adult ferrets were given injections of HRP throughout one visual cortex or had gelfoam soaked in HRP applied to the transected corpus callosum. The ferret callosal cell distribution has a greater tangential extent in area 18 than in area 17. In addition, the radial organization of callosal cells in areas 17 and 18 differs: three times as many infragranular cells

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26

Kosslyn, Stephen M., Nathaniel M. Alpert, William L. Thompson, et al. "Visual Mental Imagery Activates Topographically Organized Visual Cortex: PET Investigations." Journal of Cognitive Neuroscience 5, no. 3 (1993): 263–87. http://dx.doi.org/10.1162/jocn.1993.5.3.263.

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Анотація:

Cerebral blood flow was measured using positron emission tomography (PET) in three experiments while subjects performed mental imagery or analogous perceptual tasks. In Experiment 1, the subjects either visualized letters in grids and decided whether an X mark would have fallen on each letter if it were actually in the grid, or they saw letters in grids and decided whether an X mark fell on each letter. A region identified as part of area 17 by the Talairach and Tournoux (1988) atlas, in addition to other areas involved in vision, was activated more in the mental imagery task than in the perce

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27

Kumar, Mari Ganesh, Ming Hu, Aadhirai Ramanujan, Mriganka Sur, and Hema A. Murthy. "Functional parcellation of mouse visual cortex using statistical techniques reveals response-dependent clustering of cortical processing areas." PLOS Computational Biology 17, no. 2 (2021): e1008548. http://dx.doi.org/10.1371/journal.pcbi.1008548.

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Анотація:

The visual cortex of the mouse brain can be divided into ten or more areas that each contain complete or partial retinotopic maps of the contralateral visual field. It is generally assumed that these areas represent discrete processing regions. In contrast to the conventional input-output characterizations of neuronal responses to standard visual stimuli, here we asked whether six of the core visual areas have responses that are functionally distinct from each other for a given visual stimulus set, by applying machine learning techniques to distinguish the areas based on their activity pattern

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28

Girard, Pascal, Paul-Antoine Salin, and Jean Bullier. "Visual activity in macaque area V4 depends on area 17 input." NeuroReport 2, no. 2 (1991): 81–84. http://dx.doi.org/10.1097/00001756-199102000-00004.

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29

Di Maio, Vito, Enrica L. Santarcangelo, and Knut Busse. "Visual Perception of Area and Hypnotic Susceptibility." Perceptual and Motor Skills 81, no. 3_suppl (1995): 1315–27. http://dx.doi.org/10.2466/pms.1995.81.3f.1315.

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The visual perception of area of geometrical figures was compared for subjects of high and low hypnotizability in experiments with direct comparison of two different geometrical figures. The Stanford Hypnotic Susceptibility Scale (Form C) was used to assess subjects' hypnotizability. No differences between 17 highly hypnotizable and 10 low bypnorizable subjects were found. Present results were also compared with those previously obtained for subjects of unknown hypnotizability. The model based on the Image Function Theory proposed earlier to explain the errors in area estimation committed by s

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30

Born, Richard T., and David C. Bradley. "STRUCTURE AND FUNCTION OF VISUAL AREA MT." Annual Review of Neuroscience 28, no. 1 (2005): 157–89. http://dx.doi.org/10.1146/annurev.neuro.26.041002.131052.

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31

Schiller, Peter H. "Area V4 of the Primate Visual Cortex." Current Directions in Psychological Science 3, no. 3 (1994): 89–92. http://dx.doi.org/10.1111/1467-8721.ep10770439.

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32

Bushnell, B. N., P. J. Harding, Y. Kosai, W. Bair, and A. Pasupathy. "Equiluminance Cells in Visual Cortical Area V4." Journal of Neuroscience 31, no. 35 (2011): 12398–412. http://dx.doi.org/10.1523/jneurosci.1890-11.2011.

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33

Orban, G. A., P. Dupont, B. De Bruyn, R. Vogels, R. Vandenberghe, and L. Mortelmans. "A motion area in human visual cortex." Proceedings of the National Academy of Sciences 92, no. 4 (1995): 993–97. http://dx.doi.org/10.1073/pnas.92.4.993.

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34

de-Wit, Lee H., Robert W. Kentridge, and A. David Milner. "Object-based attention and visual area LO." Neuropsychologia 47, no. 6 (2009): 1483–90. http://dx.doi.org/10.1016/j.neuropsychologia.2008.11.002.

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35

Carpenter, R. H. S. "Visual Pursuit: An Instructive Area of Cortex." Current Biology 15, no. 16 (2005): R638—R640. http://dx.doi.org/10.1016/j.cub.2005.08.004.

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36

Yang, Jie, Yin Yang, Ke Chen, MarcelloG P. Rosa, Hsin-Hao Yu, and Li-Rong Kuang. "Visual response characteristics of neurons in the second visual area of marmosets." Neural Regeneration Research 16, no. 9 (2021): 1871. http://dx.doi.org/10.4103/1673-5374.303043.

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37

Schira, Mark M., Alex R. Wade, and Christopher W. Tyler. "Two-Dimensional Mapping of the Central and Parafoveal Visual Field to Human Visual Cortex." Journal of Neurophysiology 97, no. 6 (2007): 4284–95. http://dx.doi.org/10.1152/jn.00972.2006.

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Анотація:

Primate visual cortex contains a set of maps of visual space. These maps are fundamental to early visual processing, yet their form is not fully understood in humans. This is especially true for the central and most important part of the visual field—the fovea. We used functional magnetic resonance imaging (fMRI) to measure the mapping geometry of human V1 and V2 down to 0.5° of eccentricity. By applying automated atlas fitting procedures to parametrize and average retinotopic measurements of eight brains, we provide a reference standard for the two-dimensional geometry of human early visual c

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38

Manger, Paul R., Gerhard Engler, Christian K. E. Moll, and Andreas K. Engel. "The anterior ectosylvian visual area of the ferret: a homologue for an enigmatic visual cortical area of the cat?" European Journal of Neuroscience 22, no. 3 (2005): 706–14. http://dx.doi.org/10.1111/j.1460-9568.2005.04246.x.

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39

Felleman, Daniel J., Youping Xiao, and Evelyn McClendon. "Modular Organization of Occipito-Temporal Pathways: Cortical Connections between Visual Area 4 and Visual Area 2 and Posterior Inferotemporal Ventral Area in Macaque Monkeys." Journal of Neuroscience 17, no. 9 (1997): 3185–200. http://dx.doi.org/10.1523/jneurosci.17-09-03185.1997.

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40

Schiller, Peter H., and Edward J. Tehovnik. "Visual Prosthesis." Perception 37, no. 10 (2008): 1529–59. http://dx.doi.org/10.1068/p6100.

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Анотація:

There are more than forty million blind individuals in the world whose plight would be greatly ameliorated by creating a visual prosthesis. We begin by outlining the basic operational characteristics of the visual system, as this knowledge is essential for producing a prosthetic device based on electrical stimulation through arrays of implanted electrodes. We then list a series of tenets that we believe need to be followed in this effort. Central among these is our belief that the initial research in this area, which is in its infancy, should first be carried out on animals. We suggest that im

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41

Schmolesky, Matthew T., Youngchang Wang, Doug P. Hanes, et al. "Signal Timing Across the Macaque Visual System." Journal of Neurophysiology 79, no. 6 (1998): 3272–78. http://dx.doi.org/10.1152/jn.1998.79.6.3272.

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Анотація:

Schmolesky, Matthew T., Youngchang Wang, Doug P. Hanes, Kirk G. Thompson, Stefan Leutgeb, Jeffrey D. Schall, and Audie G. Leventhal. Signal timing across the macaque visual system. J. Neurophysiol. 79: 3272–3278, 1998. The onset latencies of single-unit responses evoked by flashing visual stimuli were measured in the parvocellular (P) and magnocellular (M) layers of the dorsal lateral geniculate nucleus (LGNd) and in cortical visual areas V1, V2, V3, V4, middle temporal area (MT), medial superior temporal area (MST), and in the frontal eye field (FEF) in individual anesthetized monkeys. Identi

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42

Cortes, Nelson, Bruno O. F. de Souza, and Christian Casanova. "Pulvinar Modulates Synchrony across Visual Cortical Areas." Vision 4, no. 2 (2020): 22. http://dx.doi.org/10.3390/vision4020022.

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Анотація:

The cortical visual hierarchy communicates in different oscillatory ranges. While gamma waves influence the feedforward processing, alpha oscillations travel in the feedback direction. Little is known how this oscillatory cortical communication depends on an alternative route that involves the pulvinar nucleus of the thalamus. We investigated whether the oscillatory coupling between the primary visual cortex (area 17) and area 21a depends on the transthalamic pathway involving the pulvinar in cats. To that end, visual evoked responses were recorded in areas 17 and 21a before, during and after

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43

Rosa, Marcello G. P., Juliana G. M. Soares, Mario Fiorani, and Ricardo Gattass. "Cortical afferents of visual area MT in the Cebus monkey: Possible homologies between New and old World monkeys." Visual Neuroscience 10, no. 5 (1993): 827–55. http://dx.doi.org/10.1017/s0952523800006064.

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AbstractCortical projections to the middle temporal (MT) visual area were studied by injecting the retrogradely transported fluorescent tracer Fast Blue into MT in adult New World monkeys (Cebus apella). Injection sites were selected based on electrophysiological recordings, and covered eccentricities from 2–70 deg, in both the upper and lower visual fields. The position and laminar distribution of labeled cell bodies were correlated with myeloarchitectonic boundaries and displayed in flat reconstructions of the neocortex. Topographically organized projections were found to arise mainly from t

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44

Dagnino, Bruno, Marie-Alice Gariel-Mathis, and Pieter R. Roelfsema. "Microstimulation of area V4 has little effect on spatial attention and on perception of phosphenes evoked in area V1." Journal of Neurophysiology 113, no. 3 (2015): 730–39. http://dx.doi.org/10.1152/jn.00645.2014.

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Анотація:

Previous transcranial magnetic stimulation (TMS) studies suggested that feedback from higher to lower areas of the visual cortex is important for the access of visual information to awareness. However, the influence of cortico-cortical feedback on awareness and the nature of the feedback effects are not yet completely understood. In the present study, we used electrical microstimulation in the visual cortex of monkeys to test the hypothesis that cortico-cortical feedback plays a role in visual awareness. We investigated the interactions between the primary visual cortex (V1) and area V4 by app

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45

Leh, Sandra E., M. Mallar Chakravarty, and Alain Ptito. "The Connectivity of the Human Pulvinar: A Diffusion Tensor Imaging Tractography Study." International Journal of Biomedical Imaging 2008 (2008): 1–5. http://dx.doi.org/10.1155/2008/789539.

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Анотація:

Previous studies in nonhuman primates and cats have shown that the pulvinar receives input from various cortical and subcortical areas involved in vision. Although the contribution of the pulvinar to human vision remains to be established, anatomical tracer and electrophysiological animal studies on cortico-pulvinar circuits suggest an important role of this structure in visual spatial attention, visual integration, and higher-order visual processing. Because methodological constraints limit investigations of the human pulvinar's function, its role could, up to now, only be inferred from anima

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46

Tjhin, Santo. "Visual Art And Technology URBAN SCREEN AS A VISUAL ART AND ADVERTISING AREA." Asia Proceedings of Social Sciences 5, no. 1 (2019): 33–39. http://dx.doi.org/10.31580/apss.v5i1.1077.

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Анотація:

Jakarta is a big city in Indonesia, a modern or developed city is a city whose development is sustainable and has the role of being an icon for the country. Jakarta has an important role and function in supporting the national economy in addition to being an icon for Indonesia. It’s role as the capital of the country also adds to its appeal, this encourages improvement both in terms of the appearance of the building and in following technological developments. Buildings and malls in Jakarta, offering a variety of products and gathering places for urban communities, where urban communities are

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47

Rosa, Marcello G. P., Aglai P. B. Sousa, and Ricardo Gattass. "Representation of the visual field in the second visual area in theCebus monkey." Journal of Comparative Neurology 275, no. 3 (1988): 326–45. http://dx.doi.org/10.1002/cne.902750303.

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48

Bullock, Kelly R., Florian Pieper, Adam J. Sachs, and Julio C. Martinez-Trujillo. "Visual and presaccadic activity in area 8Ar of the macaque monkey lateral prefrontal cortex." Journal of Neurophysiology 118, no. 1 (2017): 15–28. http://dx.doi.org/10.1152/jn.00278.2016.

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Анотація:

Common trends observed in many visual and oculomotor-related cortical areas include retinotopically organized receptive and movement fields exhibiting a Gaussian shape and increasing size with eccentricity. These trends are demonstrated in the frontal eye fields, many visual areas, and the superior colliculus but have not been thoroughly characterized in prearcuate area 8Ar of the prefrontal cortex. This is important since area 8Ar, located anterior to the frontal eye fields, is more cytoarchitectonically similar to prefrontal areas than premotor areas. Here we recorded the responses of 166 ne

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49

Slamet Sulistyo, Ruhulhaq Albarqi, and Ardhya Nareswari. "Measuring urban slum area imageability through visual indicators." IOP Conference Series: Earth and Environmental Science 1082, no. 1 (2022): 012027. http://dx.doi.org/10.1088/1755-1315/1082/1/012027.

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Abstract Imageability is the quality of a place that makes it recognizable, memorable, and different from other places. It determines the character and identity of city space. On the other hand, slum settlements are a severe problem in several countries worldwide. Urbanization makes urban space denser and causes disorder if there is no good urban spatial development. This condition then affects the image of the city, which becomes less good, disorganized, and has no character. In its role, good quality (non-slum) urban settlement will improve the image of the city. However, in the context of s

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Takahashi, Katsumasa. "Visual-Vestibular Signal Convergence in Parietal Association Area." Kitakanto Medical Journal 59, no. 1 (2009): 115–16. http://dx.doi.org/10.2974/kmj.59.115.

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