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1

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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2

Carandini, M., H. B. Barlow, A. B. Poirson, L. P. O'Keefe, and J. A. Movshon. "Adaptation to Contingencies in Macaque Primary Visual Cortex." Perception 26, no. 1_suppl (1997): 106. http://dx.doi.org/10.1068/v970207.

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We tested the hypothesis that neurons in the primary visual cortex adapt selectively to contingencies in the attributes of visual stimuli. We recorded from single neurons in macaque V1 and measured the effects of adaptation either to the sum of two gratings (compound stimulus) or to the individual gratings. According to our hypothesis, there would be a component of adaptation that is specific to the compound stimulus. We performed two sets of experiments. In the first set one grating had optimal orientation and the other was orthogonal to it. In the second set the gratings were parallel, diffe
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3

Carandini, Matteo, Horace B. Barlow, Lawrence P. O'keefe, Allen B. Poirson, and J. Anthony Movshon. "Adaptation to contingencies in macaque primary visual cortex." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 352, no. 1358 (1997): 1149–54. http://dx.doi.org/10.1098/rstb.1997.0098.

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We tested the hypothesis that neurons in the primary visual cortex adapt selectively to contingencies in the attributes of visual stimuli. We recorded from single neurons in macaque V1 and measured the effects of adaptation either to the sum of two gratings (compound stimulus) or to the individual gratings. According to our hypothesis, there would be a component of adaptation that is specific to the compound stimulus. In a first series of experiments, the two gratings differed in orientation. One grating had optimal orientation and the other was orthogonal to it, and therefore did not activate
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4

Qin, Wen, and Chunshui Yu. "Neural Pathways Conveying Novisual Information to the Visual Cortex." Neural Plasticity 2013 (2013): 1–14. http://dx.doi.org/10.1155/2013/864920.

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The visual cortex has been traditionally considered as a stimulus-driven, unimodal system with a hierarchical organization. However, recent animal and human studies have shown that the visual cortex responds to non-visual stimuli, especially in individuals with visual deprivation congenitally, indicating the supramodal nature of the functional representation in the visual cortex. To understand the neural substrates of the cross-modal processing of the non-visual signals in the visual cortex, we firstly showed the supramodal nature of the visual cortex. We then reviewed how the nonvisual signal
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5

Kok, Peter, Michel F. Failing, and Floris P. de Lange. "Prior Expectations Evoke Stimulus Templates in the Primary Visual Cortex." Journal of Cognitive Neuroscience 26, no. 7 (2014): 1546–54. http://dx.doi.org/10.1162/jocn_a_00562.

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Sensory processing is strongly influenced by prior expectations. Valid expectations have been shown to lead to improvements in perception as well as in the quality of sensory representations in primary visual cortex. However, very little is known about the neural correlates of the expectations themselves. Previous studies have demonstrated increased activity in sensory cortex following the omission of an expected stimulus, yet it is unclear whether this increased activity constitutes a general surprise signal or rather has representational content. One intriguing possibility is that top–down e
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6

van Es, Daniel, and Tomas Knapen. "Attention Improves Stimulus Encoding in Early Visual Cortex." Journal of Vision 16, no. 12 (2016): 1306. http://dx.doi.org/10.1167/16.12.1306.

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7

Hermes, Dora, Kai J. Miller, Brian A. Wandell, and Jonathan Winawer. "Gamma oscillations in visual cortex: the stimulus matters." Trends in Cognitive Sciences 19, no. 2 (2015): 57–58. http://dx.doi.org/10.1016/j.tics.2014.12.009.

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8

Mante, Valerio, and Matteo Carandini. "Mapping of Stimulus Energy in Primary Visual Cortex." Journal of Neurophysiology 94, no. 1 (2005): 788–98. http://dx.doi.org/10.1152/jn.01094.2004.

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A recent optical imaging study of primary visual cortex (V1) by Basole, White, and Fitzpatrick demonstrated that maps of preferred orientation depend on the choice of stimuli used to measure them. These authors measured population responses expressed as a function of the optimal orientation of long drifting bars. They then varied bar length, direction, and speed and found that stimuli of a same orientation can elicit different population responses and stimuli with different orientation can elicit similar population responses. We asked whether these results can be explained from known propertie
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9

K. Aguirre, Geoffrey. "Variation in Temporal Stimulus Integration Across Visual Cortex." Journal of Vision 18, no. 10 (2018): 1371. http://dx.doi.org/10.1167/18.10.1371.

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10

Alink, A., C. M. Schwiedrzik, A. Kohler, W. Singer, and L. Muckli. "Stimulus Predictability Reduces Responses in Primary Visual Cortex." Journal of Neuroscience 30, no. 8 (2010): 2960–66. http://dx.doi.org/10.1523/jneurosci.3730-10.2010.

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11

Nauhaus, Ian, Laura Busse, Matteo Carandini, and Dario L. Ringach. "Stimulus contrast modulates functional connectivity in visual cortex." Nature Neuroscience 12, no. 1 (2008): 70–76. http://dx.doi.org/10.1038/nn.2232.

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12

Larsen, Axel, Kristoffer H. Madsen, Torben E. Lund, and Claus Bundesen. "Images of Illusory Motion in Primary Visual Cortex." Journal of Cognitive Neuroscience 18, no. 7 (2006): 1174–80. http://dx.doi.org/10.1162/jocn.2006.18.7.1174.

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Illusory motion can be generated by successively flashing a stationary visual stimulus in two spatial locations separated by several degrees of visual angle. In appropriate conditions, the apparent motion is indistinguishable from real motion: The observer experiences a luminous object traversing a continuous path from one stimulus location to the other through intervening positions where no physical stimuli exist. The phenomenon has been extensively investigated for nearly a century but little is known about its neurophysiological foundation. Here we present images of activations in the prima
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13

Shim, Won Mok, Yuhong V. Jiang, and Nancy Kanwisher. "Redundancy gains in retinotopic cortex." Journal of Neurophysiology 110, no. 9 (2013): 2227–35. http://dx.doi.org/10.1152/jn.00175.2013.

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It is widely claimed that interactions among simultaneously presented visual stimuli are suppressive and that these interactions primarily occur when stimuli fall within the same receptive field ( Desimone and Duncan 1995 ). Here, we show evidence for a novel form of interaction between simultaneously presented but distant stimuli that does not fit either pattern. To examine interactions between simultaneously presented stimuli, we measure the response to a single stimulus as a function of whether or not other stimuli are also presented simultaneously, and we further ask how the response to a
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14

Lebedev, Mikhail A., Diana K. Douglass, Sohie Lee Moody, and Steven P. Wise. "Prefrontal Cortex Neurons Reflecting Reports of a Visual Illusion." Journal of Neurophysiology 85, no. 4 (2001): 1395–411. http://dx.doi.org/10.1152/jn.2001.85.4.1395.

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When a small, focally attended visual stimulus and a larger background frame shift location at the same time, the frame's new location can affect spatial perception. For horizontal displacements on the order of 1–2°, when the frame moves more than the attended stimulus, human subjects may perceive that the attended stimulus has shifted to the right or left when it has not done so. However, that misapprehension does not disable accurate eye movements to the same stimulus. We trained a rhesus monkey to report the direction that an attended stimulus had shifted by making an eye movement to one of
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15

Jiang, Wan, and Barry E. Stein. "Cortex Controls Multisensory Depression in Superior Colliculus." Journal of Neurophysiology 90, no. 4 (2003): 2123–35. http://dx.doi.org/10.1152/jn.00369.2003.

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Multisensory depression is a fundamental index of multisensory integration in superior colliculus (SC) neurons. It is initiated when one sensory stimulus (auditory) located outside its modality-specific receptive field degrades or eliminates the neuron's responses to another sensory stimulus (visual) presented within its modality-specific receptive field. The present experiments demonstrate that the capacity of SC neurons to engage in multisensory depression is strongly dependent on influences from two cortical areas (the anterior ectosylvian and rostral lateral suprasylvian sulci). When these
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16

Miller, Brian T., Jason Vytlacil, David Fegen, Suraj Pradhan, and Mark D'Esposito. "The Prefrontal Cortex Modulates Category Selectivity in Human Extrastriate Cortex." Journal of Cognitive Neuroscience 23, no. 1 (2011): 1–10. http://dx.doi.org/10.1162/jocn.2010.21516.

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Different categories of visual objects evoke distinct stimulus-evoked sensory responses in extrastriate visual cortex. Although numerous lines of evidence support a distinct representational neural architecture, the mechanisms underlying the modulation of the category selectivity by top–down influences remains uncertain. In this study, we investigate the causal role of the PFC in the modulation of evoked activity to face and scene stimuli in the extrastriate cortex. We used two experimental approaches to disrupt prefrontal cortical function—repetitive TMS to PFC in healthy participants (Experi
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17

Bányai, Mihály, Andreea Lazar, Liane Klein, et al. "Stimulus complexity shapes response correlations in primary visual cortex." Proceedings of the National Academy of Sciences 116, no. 7 (2019): 2723–32. http://dx.doi.org/10.1073/pnas.1816766116.

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Spike count correlations (SCCs) are ubiquitous in sensory cortices, are characterized by rich structure, and arise from structured internal dynamics. However, most theories of visual perception treat contributions of neurons to the representation of stimuli independently and focus on mean responses. Here, we argue that, in a functional model of visual perception, featuring probabilistic inference over a hierarchy of features, inferences about high-level features modulate inferences about low-level features ultimately introducing structured internal dynamics and patterns in SCCs. Specifically,
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18

Alwis, Dasuni S., Katrina L. Richards, and Nicholas S. C. Price. "Masking reduces orientation selectivity in rat visual cortex." Journal of Neurophysiology 116, no. 5 (2016): 2331–41. http://dx.doi.org/10.1152/jn.00366.2016.

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In visual masking the perception of a target stimulus is impaired by a preceding (forward) or succeeding (backward) mask stimulus. The illusion is of interest because it allows uncoupling of the physical stimulus, its neuronal representation, and its perception. To understand the neuronal correlates of masking, we examined how masks affected the neuronal responses to oriented target stimuli in the primary visual cortex (V1) of anesthetized rats ( n = 37). Target stimuli were circular gratings with 12 orientations; mask stimuli were plaids created as a binarized sum of all possible target orien
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19

Rittenhouse, Cynthia D., Beth A. Siegler, Courtney A. Voelker, Harel Z. Shouval, Michael A. Paradiso, and Mark F. Bear. "Stimulus for Rapid Ocular Dominance Plasticity in Visual Cortex." Journal of Neurophysiology 95, no. 5 (2006): 2947–50. http://dx.doi.org/10.1152/jn.01328.2005.

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Although it has been known for decades that monocular deprivation shifts ocular dominance in kitten striate cortex, uncertainty persists about the adequate stimulus for deprivation-induced losses of cortical responsiveness. In the current study we compared the effects of 2 days of lid closure and 2 days of monocular blur using an overcorrecting contact lens. Our finding of comparable ocular dominance shifts in visual cortex indicates that deprived-eye response depression is not a result of reduced retinal illumination. The quality rather than the quantity of retinal illumination is the key fac
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20

Nardo, Davide, Valerio Santangelo, and Emiliano Macaluso. "Audiovisual stimulus-driven contributions to spatial orienting in ecologically valid situations: An fMRI study." Seeing and Perceiving 25 (2012): 16. http://dx.doi.org/10.1163/187847612x646389.

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Mechanisms of audiovisual attention have been extensively investigated, yet little is known about their functioning in ecologically-valid situations. Here, we investigated brain activity associated with audiovisual stimulus-driven attention using naturalistic stimuli. We created 120 short videos (2.5 s) showing scenes of everyday life. Each video included a visual event comprising a lateralized (left/right) increase in visual saliency (e.g., an actor moving an object), plus a co-occurring sound either on the same or the opposite side of space. Subjects viewed the videos with/without the associ
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21

Hsieh, P. J., J. T. Colas, and N. Kanwisher. "Spatial pattern of BOLD fMRI activation reveals cross-modal information in auditory cortex." Journal of Neurophysiology 107, no. 12 (2012): 3428–32. http://dx.doi.org/10.1152/jn.01094.2010.

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Recent findings suggest that neural representations in early auditory cortex reflect not only the physical properties of a stimulus, but also high-level, top-down, and even cross-modal information. However, the nature of cross-modal information in auditory cortex remains poorly understood. Here, we used pattern analyses of fMRI data to ask whether early auditory cortex contains information about the visual environment. Our data show that 1) early auditory cortex contained information about a visual stimulus when there was no bottom-up auditory signal, and that 2) no influence of visual stimula
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22

Sergent, Claire, Christian C. Ruff, Antoine Barbot, Jon Driver, and Geraint Rees. "Top–Down Modulation of Human Early Visual Cortex after Stimulus Offset Supports Successful Postcued Report." Journal of Cognitive Neuroscience 23, no. 8 (2011): 1921–34. http://dx.doi.org/10.1162/jocn.2010.21553.

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Modulations of sensory processing in early visual areas are thought to play an important role in conscious perception. To date, most empirical studies focused on effects occurring before or during visual presentation. By contrast, several emerging theories postulate that sensory processing and conscious visual perception may also crucially depend on late top–down influences, potentially arising after a visual display. To provide a direct test of this, we performed an fMRI study using a postcued report procedure. The ability to report a target at a specific spatial location in a visual display
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23

Haile, Theodros M., Kaitlin S. Bohon, Maria C. Romero, and Bevil R. Conway. "Visual stimulus-driven functional organization of macaque prefrontal cortex." NeuroImage 188 (March 2019): 427–44. http://dx.doi.org/10.1016/j.neuroimage.2018.11.060.

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24

Beck, Diane M., and Sabine Kastner. "Stimulus similarity modulates competitive interactions in human visual cortex." Journal of Vision 7, no. 2 (2007): 19. http://dx.doi.org/10.1167/7.2.19.

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25

Serences, John T., Edward F. Ester, Edward K. Vogel, and Edward Awh. "Stimulus-Specific Delay Activity in Human Primary Visual Cortex." Psychological Science 20, no. 2 (2009): 207–14. http://dx.doi.org/10.1111/j.1467-9280.2009.02276.x.

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26

Hermes, D., K. J. Miller, B. A. Wandell, and J. Winawer. "Stimulus Dependence of Gamma Oscillations in Human Visual Cortex." Cerebral Cortex 25, no. 9 (2014): 2951–59. http://dx.doi.org/10.1093/cercor/bhu091.

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27

Roth, Zvi, David Heeger, and Elisha Merriam. "Stimulus vignetting and orientation selectivity in human visual cortex." Journal of Vision 18, no. 10 (2018): 1052. http://dx.doi.org/10.1167/18.10.1052.

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28

King, Jillian L., and Nathan A. Crowder. "Adaptation to stimulus orientation in mouse primary visual cortex." European Journal of Neuroscience 47, no. 4 (2018): 346–57. http://dx.doi.org/10.1111/ejn.13830.

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29

Martinez, Luis M., José‐Manuel Alonso, R. Clay Reid, and Judith A. Hirsch. "Laminar processing of stimulus orientation in cat visual cortex." Journal of Physiology 540, no. 1 (2002): 321–33. http://dx.doi.org/10.1113/jphysiol.2001.012776.

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30

Manahova, Mariya E., Pim Mostert, Peter Kok, Jan-Mathijs Schoffelen, and Floris P. de Lange. "Stimulus Familiarity and Expectation Jointly Modulate Neural Activity in the Visual Ventral Stream." Journal of Cognitive Neuroscience 30, no. 9 (2018): 1366–77. http://dx.doi.org/10.1162/jocn_a_01281.

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Prior knowledge about the visual world can change how a visual stimulus is processed. Two forms of prior knowledge are often distinguished: stimulus familiarity (i.e., whether a stimulus has been seen before) and stimulus expectation (i.e., whether a stimulus is expected to occur, based on the context). Neurophysiological studies in monkeys have shown suppression of spiking activity both for expected and for familiar items in object-selective inferotemporal cortex. It is an open question, however, if and how these types of knowledge interact in their modulatory effects on the sensory response.
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Tjan, Bosco S., Vaia Lestou, and Zoe Kourtzi. "Uncertainty and Invariance in the Human Visual Cortex." Journal of Neurophysiology 96, no. 3 (2006): 1556–68. http://dx.doi.org/10.1152/jn.01367.2005.

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The way in which input noise perturbs the behavior of a system depends on the internal processing structure of the system. In visual psychophysics, there is a long tradition of using external noise methods (i.e., adding noise to visual stimuli) as tools for system identification. Here, we demonstrate that external noise affects processing of visual scenes at different cortical areas along the human ventral visual pathway, from retinotopic regions to higher occipitotemporal areas implicated in visual shape processing. We found that when the contrast of the stimulus was held constant, the furthe
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32

Park, Sunyoung, and Won Mok Shim. "Stimulus predictability affects reconstruction of dynamic visual objects in early visual cortex." Journal of Vision 18, no. 10 (2018): 347. http://dx.doi.org/10.1167/18.10.347.

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33

Stenner, Max-Philipp, Markus Bauer, Patrick Haggard, Hans-Jochen Heinze, and Ray Dolan. "Enhanced Alpha-oscillations in Visual Cortex during Anticipation of Self-generated Visual Stimulation." Journal of Cognitive Neuroscience 26, no. 11 (2014): 2540–51. http://dx.doi.org/10.1162/jocn_a_00658.

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The perceived intensity of sensory stimuli is reduced when these stimuli are caused by the observer's actions. This phenomenon is traditionally explained by forward models of sensory action–outcome, which arise from motor processing. Although these forward models critically predict anticipatory modulation of sensory neural processing, neurophysiological evidence for anticipatory modulation is sparse and has not been linked to perceptual data showing sensory attenuation. By combining a psychophysical task involving contrast discrimination with source-level time–frequency analysis of MEG data, w
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34

Schupp, Harald T., Junghöfer Markus, Almut I. Weike, and Alfons O. Hamm. "Emotional Facilitation of Sensory Processing in the Visual Cortex." Psychological Science 14, no. 1 (2003): 7–13. http://dx.doi.org/10.1111/1467-9280.01411.

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A key function of emotion is the preparation for action. However, organization of successful behavioral strategies depends on efficient stimulus encoding. The present study tested the hypothesis that perceptual encoding in the visual cortex is modulated by the emotional significance of visual stimuli. Event-related brain potentials were measured while subjects viewed pleasant, neutral, and unpleasant pictures. Early selective encoding of pleasant and unpleasant images was associated with a posterior negativity, indicating primary sources of activation in the visual cortex. The study also repli
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35

Noudoost, Behrad, Neda Nategh, Kelsey Clark, and Hossein Esteky. "Stimulus context alters neural representations of faces in inferotemporal cortex." Journal of Neurophysiology 117, no. 1 (2017): 336–47. http://dx.doi.org/10.1152/jn.00667.2016.

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One goal of our nervous system is to form predictions about the world around us to facilitate our responses to upcoming events. One basis for such predictions could be the recently encountered visual stimuli, or the recent statistics of the visual environment. We examined the effect of recently experienced stimulus statistics on the visual representation of face stimuli by recording the responses of face-responsive neurons in the final stage of visual object recognition, the inferotemporal (IT) cortex, during blocks in which the probability of seeing a particular face was either 100% or only 1
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36

Fahrenfort, J. J., H. S. Scholte, and V. A. F. Lamme. "Masking Disrupts Reentrant Processing in Human Visual Cortex." Journal of Cognitive Neuroscience 19, no. 9 (2007): 1488–97. http://dx.doi.org/10.1162/jocn.2007.19.9.1488.

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In masking, a stimulus is rendered invisible through the presentation of a second stimulus shortly after the first. Over the years, authors have typically explained masking by postulating some early disruption process. In these feedforward-type explanations, the mask somehow “catches up” with the target stimulus, disrupting its processing either through lateral or interchannel inhibition. However, studies from recent years indicate that visual perception—and most notably visual awareness itself—may depend strongly on cortico-cortical feedback connections from higher to lower visual areas. This
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37

Reich, Daniel S., Ferenc Mechler, and Jonathan D. Victor. "Formal and Attribute-Specific Information in Primary Visual Cortex." Journal of Neurophysiology 85, no. 1 (2001): 305–18. http://dx.doi.org/10.1152/jn.2001.85.1.305.

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We estimate the rates at which neurons in the primary visual cortex (V1) of anesthetized macaque monkeys transmit stimulus-related information in response to three types of visual stimulus. The stimuli—randomly modulated checkerboard patterns, stationary sinusoidal gratings, and drifting sinusoidal gratings—have very different spatiotemporal structures. We obtain the overall rate of information transmission, which we call formal information, by a direct method. We find the highest information rates in the responses of simple cells to drifting gratings (median: 10.3 bits/s, 0.92 bits/spike); re
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38

HUGUES, ETIENNE, and JORGE V. JOSÉ. "STIMULUS COMPETITION IN ATTENTION: A NEURAL MODEL OF VISUAL CORTEX AREA V4." International Journal of Modern Physics E 17, no. 05 (2008): 915–23. http://dx.doi.org/10.1142/s0218301308010258.

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When a monkey is presented simultaneously two stimuli in the receptive field of a neuron in the visual cortex area V4, the neuron firing rate response is intermediate between the neuron response when both stimuli are presented alone. This phenomenon is called stimulus competition. To study its basic underlying neural mechanisms, we calculate the neuron firing rate response to different stimulus configurations. We find that stimulus competition can arise from the neuron's response properties alone, but only for a limited set of stimulus pair parameters. Furthermore, network properties may be im
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39

Chelazzi, Leonardo, John Duncan, Earl K. Miller, and Robert Desimone. "Responses of Neurons in Inferior Temporal Cortex During Memory-Guided Visual Search." Journal of Neurophysiology 80, no. 6 (1998): 2918–40. http://dx.doi.org/10.1152/jn.1998.80.6.2918.

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Chelazzi, Leonardo, John Duncan, Earl K. Miller, and Robert Desimone. Responses of neurons in inferior temporal cortex during memory-guided visual search. J. Neurophysiol. 80: 2918–2940, 1998. A typical scene will contain many different objects, few of which are relevant to behavior at any given moment. Thus attentional mechanisms are needed to select relevant objects for visual processing and control over behavior. We examined this role of attention in the inferior temporal cortex of macaque monkeys, using a visual search paradigm. While the monkey maintained fixation, a cue stimulus was pres
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40

Railo, Henry, Niina Salminen-Vaparanta, Linda Henriksson, Antti Revonsuo, and Mika Koivisto. "Unconscious and Conscious Processing of Color Rely on Activity in Early Visual Cortex: A TMS Study." Journal of Cognitive Neuroscience 24, no. 4 (2012): 819–29. http://dx.doi.org/10.1162/jocn_a_00172.

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Chromatic information is processed by the visual system both at an unconscious level and at a level that results in conscious perception of color. It remains unclear whether both conscious and unconscious processing of chromatic information depend on activity in the early visual cortex or whether unconscious chromatic processing can also rely on other neural mechanisms. In this study, the contribution of early visual cortex activity to conscious and unconscious chromatic processing was studied using single-pulse TMS in three time windows 40–100 msec after stimulus onset in three conditions: co
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Merchant, H., A. Battaglia-Mayer, and A. P. Georgopoulos. "Effects of Optic Flow in Motor Cortex and Area 7a." Journal of Neurophysiology 86, no. 4 (2001): 1937–54. http://dx.doi.org/10.1152/jn.2001.86.4.1937.

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Moving visual stimuli were presented to behaving monkeys who fixated their eyes and did not move their arm. The stimuli consisted of random dots moving coherently in eight different kinds of motion (right, left, up, downward, expansion, contraction, clockwise, and counterclockwise) and were presented in 25 square patches on a liquid crystal display projection screen. Neuronal activity in the arm area of the motor cortex and area 7a was significantly influenced by the visual stimulation, as assessed using an ANOVA. The percentage of cells with a statistically significant effect of visual stimul
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42

Bogdanova, Olena V., Volodymyr B. Bogdanov, Jean-Baptiste Durand, Yves Trotter, and Benoit R. Cottereau. "Dynamics of the straight-ahead preference in human visual cortex." Brain Structure and Function 225, no. 1 (2019): 173–86. http://dx.doi.org/10.1007/s00429-019-01988-5.

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AbstractThe objects located straight-ahead of the body are preferentially processed by the visual system. They are more rapidly detected and evoke stronger BOLD responses in early visual areas than elements that are retinotopically identical but located at eccentric spatial positions. To characterize the dynamics of the underlying neural mechanisms, we recorded in 29 subjects the EEG responses to peripheral targets differing solely by their locations with respect to the body. Straight-ahead stimuli led to stronger responses than eccentric stimuli for several components whose latencies ranged b
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43

Lubeck, Astrid J. A., Angelique Van Ombergen, Hena Ahmad, et al. "Differential effect of visual motion adaption upon visual cortical excitability." Journal of Neurophysiology 117, no. 3 (2017): 903–9. http://dx.doi.org/10.1152/jn.00655.2016.

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The objectives of this study were 1) to probe the effects of visual motion adaptation on early visual and V5/MT cortical excitability and 2) to investigate whether changes in cortical excitability following visual motion adaptation are related to the degree of visual dependency, i.e., an overreliance on visual cues compared with vestibular or proprioceptive cues. Participants were exposed to a roll motion visual stimulus before, during, and after visual motion adaptation. At these stages, 20 transcranial magnetic stimulation (TMS) pulses at phosphene threshold values were applied over early vi
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44

Rahmati, Masih, Golbarg T. Saber, and Clayton E. Curtis. "Population Dynamics of Early Visual Cortex during Working Memory." Journal of Cognitive Neuroscience 30, no. 2 (2018): 219–33. http://dx.doi.org/10.1162/jocn_a_01196.

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Although the content of working memory (WM) can be decoded from the spatial patterns of brain activity in early visual cortex, how populations encode WM representations remains unclear. Here, we address this limitation by using a model-based approach that reconstructs the feature encoded by population activity measured with fMRI. Using this approach, we could successfully reconstruct the locations of memory-guided saccade goals based on the pattern of activity in visual cortex during a memory delay. We could reconstruct the saccade goal even when we dissociated the visual stimulus from the sac
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Ciaramitaro, Vivian M., Giedrius T. Buračas, and Geoffrey M. Boynton. "Spatial and Cross-Modal Attention Alter Responses to Unattended Sensory Information in Early Visual and Auditory Human Cortex." Journal of Neurophysiology 98, no. 4 (2007): 2399–413. http://dx.doi.org/10.1152/jn.00580.2007.

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Attending to a visual or auditory stimulus often requires irrelevant information to be filtered out, both within the modality attended and in other modalities. For example, attentively listening to a phone conversation can diminish our ability to detect visual events. We used functional magnetic resonance imaging (fMRI) to examine brain responses to visual and auditory stimuli while subjects attended visual or auditory information. Although early cortical areas are traditionally considered unimodal, we found that brain responses to the same ignored information depended on the modality attended
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Richmond, B. J., and T. Sato. "Enhancement of inferior temporal neurons during visual discrimination." Journal of Neurophysiology 58, no. 6 (1987): 1292–306. http://dx.doi.org/10.1152/jn.1987.58.6.1292.

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1. Previous results have shown that spatially directed attention enhances the stimulus-elicited responses of neurons in some areas of the brain. In the inferior temporal (IT) cortex, however, directing attention toward a stimulus mildly inhibits the responses of the neurons. Inferior temporal cortex is involved in pattern discrimination, but not spatial localization. If enhancement signifies that a neuron is participating in the function for which that part of cortex is responsible, then pattern discrimination, not spatial attention, should enhance responses of IT neurons. The influence of pat
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Larsson, Jonas, David J. Heeger, and Michael S. Landy. "Orientation Selectivity of Motion-Boundary Responses in Human Visual Cortex." Journal of Neurophysiology 104, no. 6 (2010): 2940–50. http://dx.doi.org/10.1152/jn.00400.2010.

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Motion boundaries (local changes in visual motion direction) arise naturally when objects move relative to an observer. In human visual cortex, neuroimaging studies have identified a region (the kinetic occipital area [KO]) that responds more strongly to motion-boundary stimuli than to transparent-motion stimuli. However, some functional magnetic resonance imaging (fMRI) studies suggest that KO may encompass multiple visual areas and single-unit studies in macaque visual cortex have identified neurons selective for motion-boundary orientation in areas V2, V3, and V4, implying that motion-bound
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Amit, Daniel J., Stefano Fusi, and Volodya Yakovlev. "Paradigmatic Working Memory (Attractor) Cell in IT Cortex." Neural Computation 9, no. 5 (1997): 1071–92. http://dx.doi.org/10.1162/neco.1997.9.5.1071.

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We discuss paradigmatic properties of the activity of single cells comprising an attractor—a developed stable delay activity distribution. To demonstrate these properties and a methodology for measuring their values, we present a detailed account of the spike activity recorded from a single cell in the inferotemporal cortex of a monkey performing a delayed match-to-sample (DMS) task of visual images. In particular, we discuss and exemplify (1) the relation between spontaneous activity and activity immediately preceding the first stimulus in each trial during a series of DMS trials, (2) the eff
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Runeson, Erik, Geoffrey M. Boynton, and Scott O. Murray. "Effects of task and attentional selection on responses in human visual cortex." Journal of Neurophysiology 109, no. 10 (2013): 2606–17. http://dx.doi.org/10.1152/jn.00318.2012.

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Multiple visual tasks can be performed on the same visual input, with different tasks presumably engaging different neuronal populations. The modular layout of the visual system implies that specific cortical regions carry more information about certain stimulus attributes than others. Thus it is reasonable to assume that decisions during a task will be optimal if they are based on the responses of the most informative neuronal signals, which presumably originate in regions with the sharpest tuning for the relevant stimulus feature. Previous studies have supported this position. Here we presen
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de Haas, Benjamin, D. Samuel Schwarzkopf, Maren Urner, and Geraint Rees. "Auditory modulation of visual stimulus encoding in human retinotopic cortex." NeuroImage 70 (April 2013): 258–67. http://dx.doi.org/10.1016/j.neuroimage.2012.12.061.

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