Neural correlates of visual crowding

Chicherov, Vitaly; Plomp, Gijs; Herzog, Michael H.

doi:10.1016/j.neuroimage.2014.02.021

Cited by 69 publications

(77 citation statements)

References 69 publications

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“…For the right hemifield target, in particular, the N1 elicited by the stimulus presentation in parieto-occipital channels was significantly reduced in the strong crowding relative to both the mid and the no crowding condition. This result is consistent with the evidence of Chicherov et al (2014) that, though with a different behavioral paradigm, equally demonstrated that the earliest signature of visual crowding was a suppression of the N1 component. Previous studies on texture segmentation (Bach & Meigen, 1992Caputo & Casco, 1999;Fahle, Quenzer, Braun, & Spang, 2003) and contour detection Mathes, Trenner, & Fahle, 2006;Shpaner, Molholm, Forde, & Foxe, 2013) typically found N1 suppression to be associated with the inability to segment a stimulus target from the background.…”

Section: A C C E P T E D Accepted Manuscriptsupporting

confidence: 91%

“…The few EEG studies that were conducted on visual crowding to date (Chen et al, 2014;Chicherov et al 2014, Chicherov & Herzog, 2015 reported contradictory findings. Moreover, they focused only on ERPs and did not evaluate oscillatory activity, which can be an important measure to understand the crowding phenomenon and the mechanistic properties of its generation in the visual hierarchy.…”

Section: Discussionmentioning

confidence: 99%

“…The few previous studies evaluating crowding with EEG methodology observed inconsistent results. Chicherov, Plomp, and Herzog (2014) found that crowding occurs when target and flanker elements are grouped into wholes and cannot be fully attributed to lower cortical areas such as V1. The authors presented participants with a foveal vernier stimulus flanked by arrays of vertical lines.…”

Section: A N U S C R I P Tmentioning

confidence: 99%

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The neural origins of visual crowding as revealed by event-related potentials and oscillatory dynamics

Ronconi

Bertoni

Marotti

2016

Cortex

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Section: A C C E P T E D Accepted Manuscriptsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: A N U S C R I P Tmentioning

confidence: 99%

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The neural origins of visual crowding as revealed by event-related potentials and oscillatory dynamics

Ronconi

Bertoni

Marotti

2016

Cortex

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“…these localization processes, given its stronger links with higherorder regions including cortical areas V2, V4, and beyond (31)(32)(33). A range of behavioral studies also support a later-stage locus for visual crowding (3,13,(51)(52)(53).…”

Section: Discussionmentioning

confidence: 86%

“…For example, although performance on Vernier tasks has clear links with cortical area V1 (26), as do variations in grating resolution (27), both can also be linked with retinal variations (5). Crowding also shows neural correlates in area V1 (28)(29)(30), although stronger links have been proposed with cortical area V2 (31), and neural modulations have been found as high as area V4 (32) and beyond (33). Distinct neural correlates are perhaps more clear in the case of saccadic eye movements, which likely rely on a distinct retino-collicular pathway to the cortex, unlike the geniculo-striate route taken by signals for perceptual localization (34).…”

mentioning

confidence: 99%

Variations in crowding, saccadic precision, and spatial localization reveal the shared topology of spatial vision

Greenwood

Szinte

Sayim

et al. 2017

Proc. Natl. Acad. Sci. U.S.A.

121

162

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Visual sensitivity varies across the visual field in several characteristic ways. For example, sensitivity declines sharply in peripheral (vs. foveal) vision and is typically worse in the upper (vs. lower) visual field. These variations can affect processes ranging from acuity and crowding (the deleterious effect of clutter on object recognition) to the precision of saccadic eye movements. Here we examine whether these variations can be attributed to a common source within the visual system. We first compared the size of crowding zones with the precision of saccades using an oriented clock target and two adjacent flanker elements. We report that both saccade precision and crowded-target reports vary idiosyncratically across the visual field with a strong correlation across tasks for all participants. Nevertheless, both group-level and trial-by-trial analyses reveal dissociations that exclude a common representation for the two processes. We therefore compared crowding with two measures of spatial localization: Landolt-C gap resolution and three-dot bisection. Here we observe similar idiosyncratic variations with strong interparticipant correlations across tasks despite considerably finer precision. Hierarchical regression analyses further show that variations in spatial precision account for much of the variation in crowding, including the correlation between crowding and saccades. Altogether, we demonstrate that crowding, spatial localization, and saccadic precision show clear dissociations, indicative of independent spatial representations, whilst nonetheless sharing idiosyncratic variations in spatial topology. We propose that these topological idiosyncrasies are established early in the visual system and inherited throughout later stages to affect a range of higher-level representations.O ur sensitivity to visual stimuli varies substantially across the visual field with characteristic patterns that are evident across a wide range of tasks. Most notably, our ability to see fine detail decreases sharply as objects move into peripheral vision (1). These abilities are further disrupted by crowding, the impairment of object recognition in clutter, which also increases with eccentricity (2, 3). Both of these effects have been attributed to an overrepresentation of the fovea at the expense of peripheral vision, known as "cortical magnification" (4, 5), which has been observed in a range of retinotopically organized areas of the brain (6, 7). Here we ask whether other variations in visual sensitivity can similarly be attributed to topological principles within the visual system and consider whether these variations might share a common source.Variations across the visual field are particularly apparent with crowding, a process that presents the fundamental limitation on object recognition in peripheral vision (8). Crowding disrupts the recognition of a target object when flanker objects fall within a surrounding "interference zone." As well as increasing in size with eccentricity, these zones show an elliptical shap...

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Temporal preparation accelerates spatial selection by facilitating bottom-up processing

2022

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Neural correlates of visual crowding

Cited by 69 publications

References 69 publications

The neural origins of visual crowding as revealed by event-related potentials and oscillatory dynamics

The neural origins of visual crowding as revealed by event-related potentials and oscillatory dynamics

Variations in crowding, saccadic precision, and spatial localization reveal the shared topology of spatial vision

Temporal preparation accelerates spatial selection by facilitating bottom-up processing

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