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Journal articles on the topic 'Visual cortical areas'

Author: Grafiati

Published: 11 March 2023

Last updated: 31 July 2025

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1

Pollen, Daniel A. "Cortical areas in visual awareness." Nature 377, no. 6547 (1995): 293–94. http://dx.doi.org/10.1038/377293b0.

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Crick, Francis, and Christof Koch. "Cortical areas in visual awareness." Nature 377, no. 6547 (1995): 294–95. http://dx.doi.org/10.1038/377294a0.

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Kallenberger, S., C. Schmidt, T. Wustenberg, and H. Strasburger. "Visual Fusion and Binocular Rivalry in Cortical Visual Areas." Journal of Vision 10, no. 7 (2010): 360. http://dx.doi.org/10.1167/10.7.360.

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Benoliel, Tal, Noa Raz, Tamir Ben-Hur, and Netta Levin. "Cortical functional modifications following optic neuritis." Multiple Sclerosis Journal 23, no. 2 (2016): 220–27. http://dx.doi.org/10.1177/1352458516649677.

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Background: We have recently suggested that delayed visual evoked potential (VEP) latencies in the fellow eye (FE) of optic neuritis patients reflect a cortical adaptive process, to compensate for the delayed arrival of visual information via the affected eye (AE). Objective: To define the cortical mechanism that underlies this adaptive process. Methods: Cortical activations to moving stimuli and connectivity patterns within the visual network were tested using functional magnetic resonance imaging (MRI) in 11 recovered optic neuritis patients and in 11 matched controls. Results: Reduced corti

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Vanni, S., L. Henriksson, and A. C. James. "Multifocal fMRI mapping of visual cortical areas." NeuroImage 27, no. 1 (2005): 95–105. http://dx.doi.org/10.1016/j.neuroimage.2005.01.046.

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Yue, Xiaomin, Sophia Robert, and Leslie G. Ungerleider. "Curvature processing in human visual cortical areas." NeuroImage 222 (November 2020): 117295. http://dx.doi.org/10.1016/j.neuroimage.2020.117295.

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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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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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Gattass, Ricardo, Sheila Nascimento-Silva, Juliana G. M. Soares, et al. "Cortical visual areas in monkeys: location, topography, connections, columns, plasticity and cortical dynamics." Philosophical Transactions of the Royal Society B: Biological Sciences 360, no. 1456 (2005): 709–31. http://dx.doi.org/10.1098/rstb.2005.1629.

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The visual system is constantly challenged to organize the retinal pattern of stimulation into coherent percepts. This task is achieved by the cortical visual system, which is composed by topographically organized analytic areas and by synthetic areas of the temporal lobe that have more holistic processing. Additional visual areas of the parietal lobe are related to motion perception and visuomotor control. V1 and V2 represent the entire visual field. MT represents only the binocular field, and V4 only the central 30°–40°. The parietal areas represent more of the periphery. For any eccentricit

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Convento, Silvia, Giuseppe Vallar, Chiara Galantini, and Nadia Bolognini. "Neuromodulation of Early Multisensory Interactions in the Visual Cortex." Journal of Cognitive Neuroscience 25, no. 5 (2013): 685–96. http://dx.doi.org/10.1162/jocn_a_00347.

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Merging information derived from different sensory channels allows the brain to amplify minimal signals to reduce their ambiguity, thereby improving the ability of orienting to, detecting, and identifying environmental events. Although multisensory interactions have been mostly ascribed to the activity of higher-order heteromodal areas, multisensory convergence may arise even in primary sensory-specific areas located very early along the cortical processing stream. In three experiments, we investigated early multisensory interactions in lower-level visual areas, by using a novel approach, base

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Duménieu, Maël, Béatrice Marquèze-Pouey, Michaël Russier, and Dominique Debanne. "Mechanisms of Plasticity in Subcortical Visual Areas." Cells 10, no. 11 (2021): 3162. http://dx.doi.org/10.3390/cells10113162.

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Visual plasticity is classically considered to occur essentially in the primary and secondary cortical areas. Subcortical visual areas such as the dorsal lateral geniculate nucleus (dLGN) or the superior colliculus (SC) have long been held as basic structures responsible for a stable and defined function. In this model, the dLGN was considered as a relay of visual information travelling from the retina to cortical areas and the SC as a sensory integrator orienting body movements towards visual targets. However, recent findings suggest that both dLGN and SC neurons express functional plasticity

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Smith, Ikuko T., Leah B. Townsend, Ruth Huh, Hongtu Zhu, and Spencer L. Smith. "Stream-dependent development of higher visual cortical areas." Nature Neuroscience 20, no. 2 (2017): 200–208. http://dx.doi.org/10.1038/nn.4469.

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12

Yue, Xiaomin, Amisha Gandhi, and Leslie Ungerleider. "Curvature-biased cortical areas in human visual cortex." Journal of Vision 15, no. 12 (2015): 625. http://dx.doi.org/10.1167/15.12.625.

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13

Andermann, Mark L., Aaron M. Kerlin, Demetris K. Roumis, Lindsey L. Glickfeld, and R. Clay Reid. "Functional Specialization of Mouse Higher Visual Cortical Areas." Neuron 72, no. 6 (2011): 1025–39. http://dx.doi.org/10.1016/j.neuron.2011.11.013.

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14

Marshel, James H., Marina E. Garrett, Ian Nauhaus, and Edward M. Callaway. "Functional Specialization of Seven Mouse Visual Cortical Areas." Neuron 72, no. 6 (2011): 1040–54. http://dx.doi.org/10.1016/j.neuron.2011.12.004.

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15

Alvarez, Ivan, Andrew J. Parker, and Holly Bridge. "Normative cerebral cortical thickness for human visual areas." NeuroImage 201 (November 2019): 116057. http://dx.doi.org/10.1016/j.neuroimage.2019.116057.

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16

Minini, Loredana, Andrew J. Parker, and Holly Bridge. "Neural Modulation by Binocular Disparity Greatest in Human Dorsal Visual Stream." Journal of Neurophysiology 104, no. 1 (2010): 169–78. http://dx.doi.org/10.1152/jn.00790.2009.

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Although cortical activation to binocular disparity can be demonstrated throughout occipital and parietal cortices, the relative contributions to depth perception made by different human cortical areas have not been established. To investigate whether different regions are optimized for specific disparity ranges, we have measured the responses of occipital and parietal areas to different magnitudes of binocular disparity. Using stimuli consisting of sinusoidal depth modulations, we measured cortical activation when the stimuli were located at pedestal disparities of 0, 0.1, 0.35, and 0.7° from

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Rosa, Marcello G. P., and Rowan Tweedale. "Brain maps, great and small: lessons from comparative studies of primate visual cortical organization." Philosophical Transactions of the Royal Society B: Biological Sciences 360, no. 1456 (2005): 665–91. http://dx.doi.org/10.1098/rstb.2005.1626.

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In this paper, we review evidence from comparative studies of primate cortical organization, highlighting recent findings and hypotheses that may help us to understand the rules governing evolutionary changes of the cortical map and the process of formation of areas during development. We argue that clear unequivocal views of cortical areas and their homologies are more likely to emerge for ‘core’ fields, including the primary sensory areas, which are specified early in development by precise molecular identification steps. In primates, the middle temporal area is probably one of these primord

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18

Morel, Anne, and Jean Bullier. "Anatomical segregation of two cortical visual pathways in the macaque monkey." Visual Neuroscience 4, no. 6 (1990): 555–78. http://dx.doi.org/10.1017/s0952523800005769.

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AbstractA number of lines of evidence suggest that, in the macaque monkey, inferior parietal and inferotemporal cortices process different types of visual information. It has been suggested that visual information reaching these two subdivisions follows separate pathways from the striate cortex through the prestriate cortex. We examined directly this possibility by placing injections of the retrograde fluorescent tracers, fast blue and diamidino yellow, in inferior parietal and inferotemporal cortex and examining the spatial pattern of cortical areas containing labeled cells in two-dimensional

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Richter, David, Tim C. Kietzmann, and Floris P. de Lange. "High-level visual prediction errors in early visual cortex." PLOS Biology 22, no. 11 (2024): e3002829. http://dx.doi.org/10.1371/journal.pbio.3002829.

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Perception is shaped by both incoming sensory input and expectations derived from our prior knowledge. Numerous studies have shown stronger neural activity for surprising inputs, suggestive of predictive processing. However, it is largely unclear what predictions are made across the cortical hierarchy, and therefore what kind of surprise drives this up-regulation of activity. Here, we leveraged fMRI in human volunteers and deep neural network (DNN) models to arbitrate between 2 hypotheses: prediction errors may signal a local mismatch between input and expectation at each level of the cortical

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20

Brecht, Michael, Wolf Singer, and Andreas K. Engel. "Correlation Analysis of Corticotectal Interactions in the Cat Visual System." Journal of Neurophysiology 79, no. 5 (1998): 2394–407. http://dx.doi.org/10.1152/jn.1998.79.5.2394.

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Brecht, Michael, Wolf Singer, and Andreas K. Engel. Correlation analysis of corticotectal interactions in the cat visual system. J. Neurophysiol. 79: 2394–2407, 1998. We have studied the temporal relationship between visual responses in various visual cortical areas [17, 18, postero medial lateral suprasylvian (PMLS), postero lateral lateral suprasylvian (PLLS), 21a]) and the superficial layers of the cat superior colliculus (SC). To this end, simultaneous recordings were performed in one or several visual cortical areas and the SC of anesthetized paralyzed cats, and visually evoked multiunit

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21

de Souza, Bruno Oliveira Ferreira, Nelson Cortes, and Christian Casanova. "Pulvinar Modulates Contrast Responses in the Visual Cortex as a Function of Cortical Hierarchy." Cerebral Cortex 30, no. 3 (2019): 1068–86. http://dx.doi.org/10.1093/cercor/bhz149.

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Abstract The pulvinar is the largest extrageniculate visual nucleus in mammals. Given its extensive reciprocal connectivity with the visual cortex, it allows the cortico-thalamocortical transfer of visual information. Nonetheless, knowledge of the nature of the pulvinar inputs to the cortex remains elusive. We investigated the impact of silencing the pulvinar on the contrast response function of neurons in 2 distinct hierarchical cortical areas in the cat (areas 17 and 21a). Pulvinar inactivation altered the response gain in both areas, but with larger changes observed in area 21a. A theoretic

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22

Merabet, Lotfi B., Jascha D. Swisher, Stephanie A. McMains, et al. "Combined Activation and Deactivation of Visual Cortex During Tactile Sensory Processing." Journal of Neurophysiology 97, no. 2 (2007): 1633–41. http://dx.doi.org/10.1152/jn.00806.2006.

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The involvement of occipital cortex in sensory processing is not restricted solely to the visual modality. Tactile processing has been shown to modulate higher-order visual and multisensory integration areas in sighted as well as visually deprived subjects; however, the extent of involvement of early visual cortical areas remains unclear. To investigate this issue, we employed functional magnetic resonance imaging in normally sighted, briefly blindfolded subjects with well-defined visuotopic borders as they tactually explored and rated raised-dot patterns. Tactile task performance resulted in

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23

GILBERT, CHARLES D. "Adult Cortical Dynamics." Physiological Reviews 78, no. 2 (1998): 467–85. http://dx.doi.org/10.1152/physrev.1998.78.2.467.

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Gilbert, Charles D. Adult Cortical Dynamics. Physiol. Rev. 78: 467–485, 1998. — There are many influences on our perception of local features. What we see is not strictly a reflection of the physical characteristics of a scene but instead is highly dependent on the processes by which our brain attempts to interpret the scene. As a result, our percepts are shaped by the context within which local features are presented, by our previous visual experiences, operating over a wide range of time scales, and by our expectation of what is before us. The substrate for these influences is likely to be f

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24

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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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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25

Yaka, Rami, Uri Yinon, and Zvi Wollberg. "Auditory activation of cortical visual areas in cats after early visual deprivation." European Journal of Neuroscience 11, no. 4 (1999): 1301–12. http://dx.doi.org/10.1046/j.1460-9568.1999.00536.x.

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26

Jang, Hojin, and Frank Tong. "Visual crowding disrupts the cortical representation of letters in early visual areas." Journal of Vision 19, no. 10 (2019): 65c. http://dx.doi.org/10.1167/19.10.65c.

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27

Yabuta, N. H. "Two Functional Channels from Primary Visual Cortex to Dorsal Visual Cortical Areas." Science 292, no. 5515 (2001): 297–300. http://dx.doi.org/10.1126/science.1057916.

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28

Krauzlis, Richard J. "Visual Neuroscience: What to Do with All of These Cortical Visual Areas?" Current Biology 30, no. 23 (2020): R1428—R1431. http://dx.doi.org/10.1016/j.cub.2020.09.059.

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29

Webster, Maree J., Leslie G. Ungerleider, and Jocelyne Bachevalier. "Development and plasticity of the neural circuitry underlying visual recognition memory." Canadian Journal of Physiology and Pharmacology 73, no. 9 (1995): 1364–71. http://dx.doi.org/10.1139/y95-191.

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In adult monkeys, visual recognition memory, as measured by the delayed nonmatching to sample (DNMS) task, requires the interaction between inferior temporal cortical area TE and medial temporal lobe structures (mainly the entorhinal and perirhinal cortical areas). Ontogenetically, monkeys do not perform at adult levels of proficiency on the DNMS task until 2 years of age. Recent studies have demonstrated that this protracted development of visual recognition memory is due to an immaturity of the association areas of the neocortex rather than the medial temporal lobe. For example, lesions of t

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Jezierska, Karolina, Agnieszka Turoń-Skrzypińska, Iwona Rotter, et al. "Latency and Amplitude of Cortical Activation in Interactive vs. Passive Tasks: An fNIRS Study Using the NefroBall System." Sensors 25, no. 13 (2025): 4135. https://doi.org/10.3390/s25134135.

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Functional near-infrared spectroscopy (fNIRS) allows non-invasive assessment of cortical activity during naturalistic tasks. This study aimed to compare cortical activation dynamics—specifically the latency (tmax) and amplitude (ΔoxyHb) of oxygenated haemoglobin changes—in passive observation and an interactive task using the Nefroball system. A total of 117 healthy adults performed two tasks involving rhythmic hand movements: a passive protocol and an interactive game-controlled condition. fNIRS recorded signals from the visual, parietal, motor, and prefrontal cortices of the left hemisphere.

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31

Murray, Scott O., Paul Schrater, and Daniel Kersten. "Perceptual grouping and the interactions between visual cortical areas." Neural Networks 17, no. 5-6 (2004): 695–705. http://dx.doi.org/10.1016/j.neunet.2004.03.010.

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32

Ruff, D. A., and M. R. Cohen. "Attention Increases Spike Count Correlations between Visual Cortical Areas." Journal of Neuroscience 36, no. 28 (2016): 7523–34. http://dx.doi.org/10.1523/jneurosci.0610-16.2016.

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Bressler, David W., Ariel Rokem, and Michael A. Silver. "Slow Endogenous Fluctuations in Cortical fMRI Signals Correlate with Reduced Performance in a Visual Detection Task and Are Suppressed by Spatial Attention." Journal of Cognitive Neuroscience 32, no. 1 (2020): 85–99. http://dx.doi.org/10.1162/jocn_a_01470.

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Spatial attention improves performance on visual tasks, increases neural responses to attended stimuli, and reduces correlated noise in visual cortical neurons. In addition to being visually responsive, many retinotopic visual cortical areas exhibit very slow (<0.1 Hz) endogenous fluctuations in functional magnetic resonance imaging signals. To test whether these fluctuations degrade stimulus representations, thereby impairing visual detection, we recorded functional magnetic resonance imaging responses while human participants performed a target detection task that required them to allocat

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Danka Mohammed, Chand Parvez. "Differential Circuit Mechanisms of Young and Aged Visual Cortex in the Mammalian Brain." NeuroSci 2, no. 1 (2021): 1–26. http://dx.doi.org/10.3390/neurosci2010001.

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The main goal of this review is to summarize and discuss (1) age-dependent structural reorganization of mammalian visual cortical circuits underlying complex visual behavior functions in primary visual cortex (V1) and multiple extrastriate visual areas, and (2) current evidence supporting the notion of compensatory mechanisms in aged visual circuits as well as the use of rehabilitative therapy for the recovery of neural plasticity in normal and diseased aging visual circuit mechanisms in different species. It is well known that aging significantly modulates both the structural and physiologica

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Kriegstein, Katharina von, Andreas Kleinschmidt, Philipp Sterzer, and Anne-Lise Giraud. "Interaction of Face and Voice Areas during Speaker Recognition." Journal of Cognitive Neuroscience 17, no. 3 (2005): 367–76. http://dx.doi.org/10.1162/0898929053279577.

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Face and voice processing contribute to person recognition, but it remains unclear how the segregated specialized cortical modules interact. Using functional neuroimaging, we observed cross-modal responses to voices of familiar persons in the fusiform face area, as localized separately using visual stimuli. Voices of familiar persons only activated the face area during a task that emphasized speaker recognition over recognition of verbal content. Analyses of functional connectivity between cortical territories show that the fusiform face region is coupled with the superior temporal sulcus voic

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Ferreira, Sónia, Andreia Carvalho Pereira, Bruno Quendera, Aldina Reis, Eduardo Duarte Silva, and Miguel Castelo-Branco. "Enhanced Visual Attentional Modulation in Patients with Inherited Peripheral Retinal Degeneration in the Absence of Cortical Degeneration." Neural Plasticity 2019 (June 25, 2019): 1–14. http://dx.doi.org/10.1155/2019/8136354.

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The role of attentional mechanisms in peripheral vision loss remains an outstanding question. Our study was aimed at determining the effect of genetically determined peripheral retinal dystrophy caused by Retinitis Pigmentosa (RP) on visual cortical function and tested the recruitment of attentional mechanisms using functional magnetic resonance imaging (fMRI). We included thirteen patients and twenty-two age- and gender-matched controls. We analyzed cortical responses under attentional demands and passive viewing conditions while presenting a visual stimulus covering the central and paracentr

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Taylor, John-Paul, Michael J. Firbank, Jiabao He, et al. "Visual cortex in dementia with Lewy bodies: Magnetic resonance imaging study." British Journal of Psychiatry 200, no. 6 (2012): 491–98. http://dx.doi.org/10.1192/bjp.bp.111.099432.

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BackgroundVisual hallucinations and visuoperceptual deficits are common in dementia with Lewy bodies, suggesting that cortical visual function may be abnormal.AimsTo investigate: (1) cortical visual function using functional magnetic resonance imaging (fMRI); and (2) the nature and severity of perfusion deficits in visual areas using arterial spin labelling (ASL)-MRI.MethodIn total, 17 participants with dementia with Lewy bodies (DLB group) and 19 similarly aged controls were presented with simple visual stimuli (checkerboard, moving dots, and objects) during fMRI and subsequently underwent AS

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38

Tootell, R. B. H., A. M. Dale, N. Hadjikhani, A. K. Liu, S. Marrett, and J. D. Mendola. "Functional Organisation of Human Visual Cortex Revealed by fMRI." Perception 26, no. 1_suppl (1997): 9. http://dx.doi.org/10.1068/v970007.

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Until recently, comparatively little was known about the functional organisation of human visual cortex. Functional magnetic resonance imaging (fMRI), in conjunction with cortical flattening techniques and psychophysically relevant visual stimulation, has greatly clarified human visual-information processing. To date, we have completed cortical surface reconstructions (flattening), coupled with a wide range of visual stimulus testing, on 28 normal human subjects. Visual activation was acquired on a 1.5 T GE MR scanner with ANMR echo-planar imaging, with the use of a custom, bilateral, quadratu

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Silver, Michael A., David Ress, and David J. Heeger. "Topographic Maps of Visual Spatial Attention in Human Parietal Cortex." Journal of Neurophysiology 94, no. 2 (2005): 1358–71. http://dx.doi.org/10.1152/jn.01316.2004.

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Functional magnetic resonance imaging (fMRI) was used to measure activity in human parietal cortex during performance of a visual detection task in which the focus of attention systematically traversed the visual field. Critically, the stimuli were identical on all trials (except for slight contrast changes in a fully randomized selection of the target locations) whereas only the cued location varied. Traveling waves of activity were observed in posterior parietal cortex consistent with shifts in covert attention in the absence of eye movements. The temporal phase of the fMRI signal in each vo

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Huk, Alexander C., and David J. Heeger. "Task-Related Modulation of Visual Cortex." Journal of Neurophysiology 83, no. 6 (2000): 3525–36. http://dx.doi.org/10.1152/jn.2000.83.6.3525.

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We performed a series of experiments to quantify the effects of task performance on cortical activity in early visual areas. Functional magnetic resonance imaging (fMRI) was used to measure cortical activity in several cortical visual areas including primary visual cortex (V1) and the MT complex (MT+) as subjects performed a variety of threshold-level visual psychophysical tasks. Performing speed, direction, and contrast discrimination tasks produced strong modulations of cortical activity. For example, one experiment tested for selective modulations of MT+ activity as subjects alternated betw

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Putnam, Mary Colvin, Megan S. Steven, Karl W. Doron, Adam C. Riggall, and Michael S. Gazzaniga. "Cortical Projection Topography of the Human Splenium: Hemispheric Asymmetry and Individual Differences." Journal of Cognitive Neuroscience 22, no. 8 (2010): 1662–69. http://dx.doi.org/10.1162/jocn.2009.21290.

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The corpus callosum is the largest white matter pathway in the human brain. The most posterior portion, known as the splenium, is critical for interhemispheric communication between visual areas. The current study employed diffusion tensor imaging to delineate the complete cortical projection topography of the human splenium. Homotopic and heterotopic connections were revealed between the splenium and the posterior visual areas, including the occipital and the posterior parietal cortices. In nearly one third of participants, there were homotopic connections between the primary visual cortices,

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Gückel, F., M. E. Bellemann, J. Röther, et al. "Functional MR Mapping of Activated Cortical Areas." Nuklearmedizin 33, no. 05 (1994): 200–205. http://dx.doi.org/10.1055/s-0038-1629755.

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SummaryMagnetic resonance imaging (MRI) has recently been demonstrated to be sensitive to changes in neuronal activity of cortical areas. We report our initial experiences with functional MR brain mapping at high spatial resolution using a conventional whole-body MR system. A total of 10 visual and motor cortex activation studies were carried out on 8 healthy volunteers. In each examination, a time course series of 15 strongly T2*-weighted FLASH images was measured from three adjacent slices. The image analysis revealed a subtle but highly significant signal increase in cortical layers of gray

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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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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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Lennie, Peter. "Single Units and Visual Cortical Organization." Perception 27, no. 8 (1998): 889–935. http://dx.doi.org/10.1068/p270889.

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The visual system has a parallel and hierarchical organization, evident at every stage from the retina onwards. Although the general benefits of parallel and hierarchical organization in the visual system are easily understood, it has not been easy to discern the function of the visual cortical modules. I explore the view that striate cortex segregates information about different attributes of the image, and dispatches it for analysis to different extrastriate areas. I argue that visual cortex does not undertake multiple relatively independent analyses of the image from which it assembles a un

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MANGER, PAUL R., GERHARD ENGLER, CHRISTIAN K. E. MOLL, and ANDREAS K. ENGEL. "Location, architecture, and retinotopy of the anteromedial lateral suprasylvian visual area (AMLS) of the ferret (Mustela putorius)." Visual Neuroscience 25, no. 1 (2008): 27–37. http://dx.doi.org/10.1017/s0952523808080036.

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The present paper describes the results of architectural and electrophysiological mapping observations of the medial bank of the suprasylvian sulcus of the ferret immediately caudal to somatosensory regions. The aim was to determine if the ferret possessed a homologous cortical area to the anteromedial lateral suprasylvian visual area (AMLS) of the domestic cat. We studied the architectural features and visuotopic organization of a region that we now consider to be a homologue to the cat AMLS. This area showed a distinct architecture and retinotopic organization. The retinotopic map was comple

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Binns, K. E., and T. E. Salt. "Corticofugal influences on visual responses in cat superior colliculus: The role of NMDA receptors." Visual Neuroscience 13, no. 4 (1996): 683–94. http://dx.doi.org/10.1017/s0952523800008579.

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AbstractThe role of N-methyl-D-aspartate (NMDA) receptors in the mediation of cortical inputs to visual neurones in the superficial layers of the superior colliculus (SSC) has been investigated. Extracellular recording with iontophoresis in the SSC of cortically intact cats has demonstrated that visual responses of most neurones were reduced by iontophoretic application of the NMDA receptor antagonist D-2-amino-5-phosphonopentanoate (APS). Following inactivation of areas 17 and 18 of the visual cortex with topical lignocaine, the visual responses of 11, previously AP5-sensitive, neurones were

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Mannion, Damien J., J. Scott McDonald, and Colin W. G. Clifford. "Orientation Anisotropies in Human Visual Cortex." Journal of Neurophysiology 103, no. 6 (2010): 3465–71. http://dx.doi.org/10.1152/jn.00190.2010.

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Representing the orientation of features in the visual image is a fundamental operation of the early cortical visual system. The nature of such representations can be informed by considering anisotropic distributions of response across the range of orientations. Here we used functional MRI to study modulations in the cortical activity elicited by observation of a sinusoidal grating that varied in orientation. We report a significant anisotropy in the measured blood-oxygen level-dependent activity within visual areas V1, V2, V3, and V3A/B in which horizontal orientations evoked a reduced respon

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Merzhanova, Galina. "Interneuronal cortical connections and intertrial responses in appetitive instrumental learning." Acta Neurobiologiae Experimentalis 57, no. 3 (1997): 247–53. http://dx.doi.org/10.55782/ane-1997-1232.

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The organization of interneuronal cortical connections in intertrial periods was studied in 4 cats trained to perform the delayed appetitive instrumental response to a visual conditioned stimulus (CS). Crosscorrelational analysis revealed changes in intra- and intercortical neuronal networks of the visual and motor cortical projection areas. Depending on the form of behavior in the intertrial period, i.e., the presence or absence of the acquired instrumental response, the functional connections of either informational (time delays of less than 30 ms) or motivational (time delays in the range o

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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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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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Kim, Insub, Sang Wook Hong, Steven K. Shevell, and Won Mok Shim. "Neural representations of perceptual color experience in the human ventral visual pathway." Proceedings of the National Academy of Sciences 117, no. 23 (2020): 13145–50. http://dx.doi.org/10.1073/pnas.1911041117.

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Color is a perceptual construct that arises from neural processing in hierarchically organized cortical visual areas. Previous research, however, often failed to distinguish between neural responses driven by stimulus chromaticity versus perceptual color experience. An unsolved question is whether the neural responses at each stage of cortical processing represent a physical stimulus or a color we see. The present study dissociated the perceptual domain of color experience from the physical domain of chromatic stimulation at each stage of cortical processing by using a switch rivalry paradigm

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