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Journal articles on the topic 'Primary visual cortex'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Stern, Peter. "Another primary visual cortex." Science 363, no. 6422 (2019): 39.16–41. http://dx.doi.org/10.1126/science.363.6422.39-p.

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2

Tong, Frank. "Primary visual cortex and visual awareness." Nature Reviews Neuroscience 4, no. 3 (2003): 219–29. http://dx.doi.org/10.1038/nrn1055.

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3

Beltramo, Riccardo. "A new primary visual cortex." Science 370, no. 6512 (2020): 46.2–46. http://dx.doi.org/10.1126/science.abe1482.

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4

Stern, Peter. "Rethinking primary visual cortex function." Science 364, no. 6447 (2019): 1247.14–1249. http://dx.doi.org/10.1126/science.364.6447.1247-n.

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5

Chan, Jane W. "The Cat Primary Visual Cortex." Journal of Neuro-Ophthalmology 26, no. 1 (2006): 70. http://dx.doi.org/10.1097/01.wno.0000206242.42410.de.

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6

Pigarev, I., D. Chelvanayagam, J. Cappello, and T. Vidyasagar. "Primary visual cortex and memory." Experimental Brain Research 140, no. 3 (2001): 311–17. http://dx.doi.org/10.1007/s002210100825.

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7

Posner, M. I., and C. D. Gilbert. "Attention and primary visual cortex." Proceedings of the National Academy of Sciences 96, no. 6 (1999): 2585–87. http://dx.doi.org/10.1073/pnas.96.6.2585.

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8

Konovenko, Nadiia, and Valentin Lychagin. "Invariants for primary visual cortex." Differential Geometry and its Applications 60 (October 2018): 156–73. http://dx.doi.org/10.1016/j.difgeo.2018.04.009.

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9

Sengpiel, Frank, and Mark Hübener. "Visual perception: Spotlight on the primary visual cortex." Current Biology 9, no. 9 (1999): R318—R321. http://dx.doi.org/10.1016/s0960-9822(99)80202-4.

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10

Silvanto, Juha. "Is primary visual cortex necessary for visual awareness?" Trends in Neurosciences 37, no. 11 (2014): 618–19. http://dx.doi.org/10.1016/j.tins.2014.09.006.

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11

Henriksen, Sid, Seiji Tanabe, and Bruce Cumming. "Disparity processing in primary visual cortex." Philosophical Transactions of the Royal Society B: Biological Sciences 371, no. 1697 (2016): 20150255. http://dx.doi.org/10.1098/rstb.2015.0255.

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The first step in binocular stereopsis is to match features on the left retina with the correct features on the right retina, discarding ‘false’ matches. The physiological processing of these signals starts in the primary visual cortex, where the binocular energy model has been a powerful framework for understanding the underlying computation. For this reason, it is often used when thinking about how binocular matching might be performed beyond striate cortex. But this step depends critically on the accuracy of the model, and real V1 neurons show several properties that suggest they may be les

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12

Richter, David, Dirk van Moorselaar, and Jan Theeuwes. "Distractor suppression in primary visual cortex." Journal of Vision 24, no. 10 (2024): 411. http://dx.doi.org/10.1167/jov.24.10.411.

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13

Leopold, David A. "Primary Visual Cortex: Awareness and Blindsight." Annual Review of Neuroscience 35, no. 1 (2012): 91–109. http://dx.doi.org/10.1146/annurev-neuro-062111-150356.

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14

Barone, Pascal. "Is the primary visual cortex multisensory?" Physics of Life Reviews 7, no. 3 (2010): 291–92. http://dx.doi.org/10.1016/j.plrev.2010.07.002.

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15

Földiák, Peter. "Stimulus optimisation in primary visual cortex." Neurocomputing 38-40 (June 2001): 1217–22. http://dx.doi.org/10.1016/s0925-2312(01)00570-7.

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16

Li, Wu, Valentin Piëch, and Charles D. Gilbert. "Contour Saliency in Primary Visual Cortex." Neuron 50, no. 6 (2006): 951–62. http://dx.doi.org/10.1016/j.neuron.2006.04.035.

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17

MacEvoy, S. P., and M. A. Paradiso. "Lightness constancy in primary visual cortex." Proceedings of the National Academy of Sciences 98, no. 15 (2001): 8827–31. http://dx.doi.org/10.1073/pnas.161280398.

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18

Zipser, Karl, Victor A. F. Lamme, and Peter H. Schiller. "Contextual Modulation in Primary Visual Cortex." Journal of Neuroscience 16, no. 22 (1996): 7376–89. http://dx.doi.org/10.1523/jneurosci.16-22-07376.1996.

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19

Zayyad, Zaina A., John H. R. Maunsell, and Jason N. MacLean. "Normalization in mouse primary visual cortex." PLOS ONE 18, no. 12 (2023): e0295140. http://dx.doi.org/10.1371/journal.pone.0295140.

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When multiple stimuli appear together in the receptive field of a visual cortical neuron, the response is typically close to the average of that neuron’s response to each individual stimulus. The departure from a linear sum of each individual response is referred to as normalization. In mammals, normalization has been best characterized in the visual cortex of macaques and cats. Here we study visually evoked normalization in the visual cortex of awake mice using imaging of calcium indicators in large populations of layer 2/3 (L2/3) V1 excitatory neurons and electrophysiological recordings acro

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20

Iacaruso, M. Florencia, Ioana T. Gasler, and Sonja B. Hofer. "Synaptic organization of visual space in primary visual cortex." Nature 547, no. 7664 (2017): 449–52. http://dx.doi.org/10.1038/nature23019.

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21

Tong, F. "Representations of Visual Imagery in Human Primary Visual Cortex." Journal of Vision 4, no. 8 (2004): 46. http://dx.doi.org/10.1167/4.8.46.

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22

Heeger, David J. "The Representation of Visual Stimuli in Primary Visual Cortex." Current Directions in Psychological Science 3, no. 5 (1994): 159–63. http://dx.doi.org/10.1111/1467-8721.ep10770661.

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23

Morris, Adam P., and Bart Krekelberg. "A Stable Visual World in Primate Primary Visual Cortex." Current Biology 29, no. 9 (2019): 1471–80. http://dx.doi.org/10.1016/j.cub.2019.03.069.

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24

Beltramo, Riccardo, and Massimo Scanziani. "A collicular visual cortex: Neocortical space for an ancient midbrain visual structure." Science 363, no. 6422 (2019): 64–69. http://dx.doi.org/10.1126/science.aau7052.

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Visual responses in the cerebral cortex are believed to rely on the geniculate input to the primary visual cortex (V1). Indeed, V1 lesions substantially reduce visual responses throughout the cortex. Visual information enters the cortex also through the superior colliculus (SC), but the function of this input on visual responses in the cortex is less clear. SC lesions affect cortical visual responses less than V1 lesions, and no visual cortical area appears to entirely rely on SC inputs. We show that visual responses in a mouse lateral visual cortical area called the postrhinal cortex are inde

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25

Petro, L. S., A. T. Paton, and L. Muckli. "Contextual modulation of primary visual cortex by auditory signals." Philosophical Transactions of the Royal Society B: Biological Sciences 372, no. 1714 (2017): 20160104. http://dx.doi.org/10.1098/rstb.2016.0104.

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Early visual cortex receives non-feedforward input from lateral and top-down connections (Muckli & Petro 2013 Curr. Opin. Neurobiol. 23 , 195–201. ( doi:10.1016/j.conb.2013.01.020 )), including long-range projections from auditory areas. Early visual cortex can code for high-level auditory information, with neural patterns representing natural sound stimulation (Vetter et al. 2014 Curr. Biol. 24 , 1256–1262. ( doi:10.1016/j.cub.2014.04.020 )). We discuss a number of questions arising from these findings. What is the adaptive function of bimodal representations in visual cortex? What type o

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26

van den Hurk, Job, Marc Van Baelen, and Hans P. Op de Beeck. "Development of visual category selectivity in ventral visual cortex does not require visual experience." Proceedings of the National Academy of Sciences 114, no. 22 (2017): E4501—E4510. http://dx.doi.org/10.1073/pnas.1612862114.

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To what extent does functional brain organization rely on sensory input? Here, we show that for the penultimate visual-processing region, ventral-temporal cortex (VTC), visual experience is not the origin of its fundamental organizational property, category selectivity. In the fMRI study reported here, we presented 14 congenitally blind participants with face-, body-, scene-, and object-related natural sounds and presented 20 healthy controls with both auditory and visual stimuli from these categories. Using macroanatomical alignment, response mapping, and surface-based multivoxel pattern anal

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27

Padnick, Lissa B., Robert A. Linsenmeier, and Thomas K. Goldstick. "Oxygenation of the cat primary visual cortex." Journal of Applied Physiology 86, no. 5 (1999): 1490–96. http://dx.doi.org/10.1152/jappl.1999.86.5.1490.

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Tissue [Formula: see text] was measured in the primary visual cortex of anesthetized, artificially ventilated normovolemic cats to examine tissue oxygenation with respect to depth. The method utilized 1) a chamber designed to maintain cerebrospinal fluid pressure and prevent ambient[Formula: see text] from influencing the brain, 2) a microelectrode capable of recording electrical activity as well as local[Formula: see text], and 3) recordings primarily during electrode withdrawal from the cortex rather than during penetrations. Local peaks in the [Formula: see text] profiles were consistent wi

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28

Jimenez, Luis O., Elaine Tring, Joshua T. Trachtenberg, and Dario L. Ringach. "Local tuning biases in mouse primary visual cortex." Journal of Neurophysiology 120, no. 1 (2018): 274–80. http://dx.doi.org/10.1152/jn.00150.2018.

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Neurons in primary visual cortex are selective to the orientation and spatial frequency of sinusoidal gratings. In the classic model of cortical organization, a population of neurons responding to the same region of the visual field but tuned to all possible feature combinations provides a detailed representation of the local image. Such a functional module is assumed to be replicated across primary visual cortex to provide a uniform representation of the image across the entire visual field. In contrast, it has been hypothesized that the tiling properties of ON- and OFF-center receptive field

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29

Lee, Hyangsook, Hi-Joon Park, Soon Ae Kim, et al. "Acupuncture Stimulation of the Vision-Related Acupoint (Bl-67) Increases c-Fos Expression in the Visual Cortex of Binocularly Deprived Rat Pups." American Journal of Chinese Medicine 30, no. 02n03 (2002): 379–85. http://dx.doi.org/10.1142/s0192415x02000399.

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Our previous study with functional magnetic resonance imaging (MRI) demonstrated that acupuncture stimulation of the vision-related acupoint, Bl-67, activates the visual cortex of the human brain. As a further study on the effect of Bl-67 acupuncture stimulation on the visual cortex, we examined c-Fos expression in binocularly deprived rat pups. Binocular deprivation significantly reduced the number of c-Fos-positive cells in the primary visual cortex, compared with that of normal control rat pups. Interestingly, acupuncture stimulation of Bl-67 resulted in a significant increase in the number

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30

Burg, Max F., Santiago A. Cadena, George H. Denfield, et al. "Learning divisive normalization in primary visual cortex." PLOS Computational Biology 17, no. 6 (2021): e1009028. http://dx.doi.org/10.1371/journal.pcbi.1009028.

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Divisive normalization (DN) is a prominent computational building block in the brain that has been proposed as a canonical cortical operation. Numerous experimental studies have verified its importance for capturing nonlinear neural response properties to simple, artificial stimuli, and computational studies suggest that DN is also an important component for processing natural stimuli. However, we lack quantitative models of DN that are directly informed by measurements of spiking responses in the brain and applicable to arbitrary stimuli. Here, we propose a DN model that is applicable to arbi

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31

Reynaud, Alexandre, Sébastien Roux, Sandrine Chemla, Frédéric Chavane, and Robert Hess. "Interocular normalization in monkey primary visual cortex." Journal of Vision 18, no. 10 (2018): 534. http://dx.doi.org/10.1167/18.10.534.

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32

Johnson, Elizabeth N., Michael J. Hawken, and Robert Shapley. "Cone Inputs in Macaque Primary Visual Cortex." Journal of Neurophysiology 91, no. 6 (2004): 2501–14. http://dx.doi.org/10.1152/jn.01043.2003.

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To understand the role of primary visual cortex (V1) in color vision, we measured directly the input from the 3 cone types in macaque V1 neurons. Cells were classified as luminance-preferring, color-luminance, or color-preferring from the ratio of the peak amplitudes of spatial frequency responses to red/green equiluminant and to black/white (luminance) grating patterns, respectively. In this study we used L-, M-, and S-cone–isolating gratings to measure spatial frequency response functions for each cone type separately. From peak responses to cone-isolating stimuli we estimated relative cone

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33

Sasaki, Y., and T. Watanabe. "The primary visual cortex fills in color." Journal of Vision 5, no. 8 (2005): 716. http://dx.doi.org/10.1167/5.8.716.

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34

Haak, Koen V., Elizabeth Fast, Yihwa Baek, and Juraj Mesik. "Equalization and decorrelation in primary visual cortex." Journal of Neurophysiology 112, no. 3 (2014): 501–3. http://dx.doi.org/10.1152/jn.00521.2013.

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There are many theories on the purpose of neural adaptation, but evidence remains elusive. Here, we discuss the recent work by Benucci et al. ( Nat Neurosci 16: 724–729, 2013), who measured for the first time the immediate effects of adaptation on the overall activity of a neuronal population. These measurements confirm two long-standing hypotheses about the purpose of adaptation, namely that adaptation counteracts biases in the statistics of the environment, and that it maintains decorrelation in neuronal stimulus selectivity.

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35

Furmanski, C. S., and S. A. Engel. "Perceptual learning in human primary visual cortex." Journal of Vision 2, no. 7 (2010): 75. http://dx.doi.org/10.1167/2.7.75.

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36

Sasaki, Y., and T. Watanabe. "The primary visual cortex fills in color." Proceedings of the National Academy of Sciences 101, no. 52 (2004): 18251–56. http://dx.doi.org/10.1073/pnas.0406293102.

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37

Roelfsema, P. R., P. S. Khayat, and H. Spekreijse. "Subtask sequencing in the primary visual cortex." Proceedings of the National Academy of Sciences 100, no. 9 (2003): 5467–72. http://dx.doi.org/10.1073/pnas.0431051100.

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38

Martinez, Luis M., and Jose-Manuel Alonso. "Complex Receptive Fields in Primary Visual Cortex." Neuroscientist 9, no. 5 (2003): 317–31. http://dx.doi.org/10.1177/1073858403252732.

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39

Shuler, M. G. "Reward Timing in the Primary Visual Cortex." Science 311, no. 5767 (2006): 1606–9. http://dx.doi.org/10.1126/science.1123513.

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40

Cao, Yue, and Jie Huang. "Attention-evoked activation in primary visual cortex." NeuroImage 13, no. 6 (2001): 304. http://dx.doi.org/10.1016/s1053-8119(01)91647-7.

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41

LeDue, E. E., M. Y. Zou, and N. A. Crowder. "Spatiotemporal tuning in mouse primary visual cortex." Neuroscience Letters 528, no. 2 (2012): 165–69. http://dx.doi.org/10.1016/j.neulet.2012.09.006.

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42

Li, Zhaoping. "A saliency map in primary visual cortex." Trends in Cognitive Sciences 6, no. 1 (2002): 9–16. http://dx.doi.org/10.1016/s1364-6613(00)01817-9.

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43

McManus, J. N. J., W. Li, and C. D. Gilbert. "Adaptive shape processing in primary visual cortex." Proceedings of the National Academy of Sciences 108, no. 24 (2011): 9739–46. http://dx.doi.org/10.1073/pnas.1105855108.

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44

Anand, A., J. Anderson, and T. Berger-Wolf. "Predicting Orientation Selectivity in Primary Visual Cortex." Journal of Vision 10, no. 7 (2010): 936. http://dx.doi.org/10.1167/10.7.936.

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45

Rangan, A., L. Tao, G. Kovacic, and D. Cai. "Multiscale modeling of the primary visual cortex." IEEE Engineering in Medicine and Biology Magazine 28, no. 3 (2009): 19–24. http://dx.doi.org/10.1109/memb.2009.932803.

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46

Benucci, A., R. A. Frazor, and M. Carandini. "Imaging pattern adaptation in primary visual cortex." Journal of Vision 7, no. 15 (2010): 52. http://dx.doi.org/10.1167/7.15.52.

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47

Vaiceliunaite, Agne, Sinem Erisken, Florian Franzen, Steffen Katzner, and Laura Busse. "Spatial integration in mouse primary visual cortex." Journal of Neurophysiology 110, no. 4 (2013): 964–72. http://dx.doi.org/10.1152/jn.00138.2013.

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Responses of many neurons in primary visual cortex (V1) are suppressed by stimuli exceeding the classical receptive field (RF), an important property that might underlie the computation of visual saliency. Traditionally, it has proven difficult to disentangle the underlying neural circuits, including feedforward, horizontal intracortical, and feedback connectivity. Since circuit-level analysis is particularly feasible in the mouse, we asked whether neural signatures of spatial integration in mouse V1 are similar to those of higher-order mammals and investigated the role of parvalbumin-expressi

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48

Shuler, M. G., and M. F. Bear. "Reward timing in the primary visual cortex." American Journal of Ophthalmology 142, no. 1 (2006): 202. http://dx.doi.org/10.1016/j.ajo.2006.05.013.

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49

Ringach, Dario L. "Mapping receptive fields in primary visual cortex." Journal of Physiology 558, no. 3 (2004): 717–28. http://dx.doi.org/10.1113/jphysiol.2004.065771.

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50

Supèr, Hans. "Working Memory in the Primary Visual Cortex." Archives of Neurology 60, no. 6 (2003): 809. http://dx.doi.org/10.1001/archneur.60.6.809.

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