The warped geometry of visual space near a line assessed using a hyperacuity displacement task

Ruda, Harald

doi:10.1163/156856898x00103

Cited by 5 publications

(5 citation statements)

References 24 publications

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“…The present research provides concurrence with previous work investigating the influence that object onsets have on visual space (Badcock & Westheimer, 1985;Krose & Julesz, 1989;Nakayama & Mackeben, 1989;Ruda, 1998;Steinman et al, 1995;Suzuki & Cavanagh, 1997Tsal & Shalev, 1996;von Grunau & Faubert, 1994). These studies demonstrated that the abrupt appearance of a new object affects the processing of a subsequent object.…”

Section: Discussionsupporting

confidence: 92%

“…These studies demonstrated that the abrupt appearance of a new object affects the processing of a subsequent object. In the words of Ruda (1998), visual space does not have a “rigid metric.” Rather, visual space can be “distorted” or “warped” by objects. The current experiments have demonstrated what may be considered another example of space distortion.…”

Section: Discussionmentioning

confidence: 99%

“…Tsal and Shalev explained the phenomenon in terms of an "attentional receptive field" created by the circle. Other examples of objects influencing visual space include Kanizsa's (1951) "polarized gamma motion," Steinman et al's (1995) "perceptive fields," Ruda's (1998) "warped geometry of visual space," and Badcock and Westheimer's (1985) "zones of attraction and repulsion. "…”

mentioning

confidence: 99%

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Effect of object onset on the distribution of visual attention.

Cole¹,

Gellatly²,

Blurton³

2001

Journal of Experimental Psychology: Human Perception and Perfor

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There now exists considerable evidence to suggest that the appearance of a new object in the visual field captures visual attention. One of the consequences of this attentional capture is that the object initiates a redistribution of attentional resources across visual space. This is classically observed in the precuing paradigm in which the onset of an abrupt cue influences the processing of a subsequently presented target. The present research describes a new phenomenon that occurs as a result of a new object appearing in the visual field. A stimulus presented in a region of space adjacent to a corner of an onsetting object receives an enhancement of processing relative to a stimulus presented adjacent to one of the object's straight edges. With the use of 2 converging methods, evidence is presented that suggests that the effect is a higher order attentional phenomenon whereby greater resources become directed to the corners of objects.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

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Effect of object onset on the distribution of visual attention.

Cole¹,

Gellatly²,

Blurton³

2001

Journal of Experimental Psychology: Human Perception and Perfor

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“…As Scholl (2001) hypothesized, the spotlight can indeed distort. This concurs with many other accounts of how new objects distort their surrounding visual space (Miyauchi et al, 1992;Ruda, 1998;Steinman, Steinman, & Lehmkuhle, 1995;Suzuki & Cavanagh, 1997Tsal & Shalev, 1996). In the present article, we report six experiments assessing how the corner effect relates to space-based and object-based theories of attention.…”

supporting

confidence: 91%

Object and spatial representations in the corner enhancement effect

Cole

Skarratt

Gellatly

2007

Perception & Psychophysics

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Cole, Gellatly, and Blurton (2001) have shown that targets presented adjacent to geometric corners are detected more efficiently than targets presented adjacent to straight edges. In six experiments, we examined how this corner enhancement effect is modulated by corner-of-object representations (i.e., corners that define an object's shape) and local base-level corners that occur as a result of, for instance, overlapping the straight edges of two objects. The results show that the corner phenomenon is greater for corners of object representations than for corners that do not define an object's shape. We also examined whether the corner effect persists within the contour boundaries of an object, as well as on the outside. The results showed that a spatial gradient of attention accompanies the corner effect outside the contour boundaries of an object but that processing within an object is uniform, with no corner effect occurring. We discuss these findings in relation to space-based and object-based theories of attention.

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“…Our model showed that the representation of space was warped by the simultaneous presentation of two stimuli (Figure 21). Such warping of space in the region near a visual stimulus has been observed psychophysically (Badcock and Westheimer, 1985a,b; Greene and Brown, 1995; Ruda, 1998), and it is possible that visual crowding effects (Levi, 2008) may also be due to spatial distortion caused by multiple stimuli. More generally, it has long been recognized that there are spatial interactions with simultaneous multiple stimuli, both in behavioral studies (Sereno and Kosslyn, 1991; Sereno and Sereno, 1999) as well as physiological studies (such as response modulation beyond the classical RF, Allman et al, 1985; Knierem and Van Essen, 1992).…”

Section: Discussionmentioning

confidence: 87%

Population Coding of Visual Space: Modeling

Lehky¹,

Sereno²

2011

Front. Comput. Neurosci.

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We examine how the representation of space is affected by receptive field (RF) characteristics of the encoding population. Spatial responses were defined by overlapping Gaussian RFs. These responses were analyzed using multidimensional scaling to extract the representation of global space implicit in population activity. Spatial representations were based purely on firing rates, which were not labeled with RF characteristics (tuning curve peak location, for example), differentiating this approach from many other population coding models. Because responses were unlabeled, this model represents space using intrinsic coding, extracting relative positions amongst stimuli, rather than extrinsic coding where known RF characteristics provide a reference frame for extracting absolute positions. Two parameters were particularly important: RF diameter and RF dispersion, where dispersion indicates how broadly RF centers are spread out from the fovea. For large RFs, the model was able to form metrically accurate representations of physical space on low-dimensional manifolds embedded within the high-dimensional neural population response space, suggesting that in some cases the neural representation of space may be dimensionally isomorphic with 3D physical space. Smaller RF sizes degraded and distorted the spatial representation, with the smallest RF sizes (present in early visual areas) being unable to recover even a topologically consistent rendition of space on low-dimensional manifolds. Finally, although positional invariance of stimulus responses has long been associated with large RFs in object recognition models, we found RF dispersion rather than RF diameter to be the critical parameter. In fact, at a population level, the modeling suggests that higher ventral stream areas with highly restricted RF dispersion would be unable to achieve positionally-invariant representations beyond this narrow region around fixation.

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The warped geometry of visual space near a line assessed using a hyperacuity displacement task

Cited by 5 publications

References 24 publications

Effect of object onset on the distribution of visual attention.

Effect of object onset on the distribution of visual attention.

Object and spatial representations in the corner enhancement effect

Population Coding of Visual Space: Modeling

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