Phase-selective masking with radial frequency contours

Slugocki, Michael; Sekuler, Allison B.; Bennett, Patrick J.

doi:10.1016/j.visres.2018.10.013

Cited by 5 publications

(5 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our data are consistent with these types of models, as observers were more sensitive at both detecting and localizing curvatures that were restricted to smaller fractions along a closed contour. These findings are also consistent with computational models of V4 units that predict patterns of activation produced by contours of higher angular frequency should be less spread across polar angles, and thus are well localized along a population surface (Pasupathy & Connor, 2002;Carlson et al, 2011;Slugocki, Sekuler, & Bennett, 2019). Together, this collection of results supports the growing body of evidence suggesting that angular frequency is a critical geometric property limiting sensitivity to curvatures along closed contour shapes (Hess et al, 1999;Jeffrey et al, 2002;Loffler et al, 2003;Mullen et al, 2011;Schmidtmann et al, 2012;Green et al, 2017;Schmidtmann & Kingdom, 2017;Green et al, 2018a).…”

Section: Angular Frequencysupporting

confidence: 85%

“…A prediction that follows from such an assumption is that observers are uniformly sensitive to curvature deformations at all polar angles. This prediction is surprising when one considers that many aspects of vision are relatively poorer for oblique contours compared to horizontal and vertical contours: oblique effects have been found for grating acuity Citation: Slugocki, M., Sekuler, A. B., & Bennett, P. J.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sensitivity to curvature deformations along closed contours

2019

Self Cite

View full text Add to dashboard Cite

To test the assumption that detection thresholds for curvature deformations are invariant across polar angles, we used a novel stimulus class we call Difference of Gaussian (DoG) contours that allowed us to independently manipulate the amplitude, angular frequency, and polar angle of curvature of a closed-contour shape while measuring contourcurvature thresholds. Our results demonstrate that (a) detection thresholds were higher when observers were uncertain about the location of the curvature deformation, but on average, thresholds did not vary significantly across 24 polar angles; (b) the direction and magnitude of the oblique effect varies across individuals; (c) there is a strong association between detecting a contour deformation and identifying its location; (d) curvature detectors may serve as labeled lines.

show abstract

Section: Angular Frequencysupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Sensitivity to curvature deformations along closed contours

2019

Self Cite

View full text Add to dashboard Cite

show abstract

mentioning

confidence: 68%

“…They found that when the masking RF pattern was 180°out of phase with the test RF, the masking effect was weaker compared with when the two patterns were in the same phase. This suggests that observers are sensitive to rotational phase in RF patterns, supporting the possibility of multiple phase channels (Slugocki, Sekuler, & Bennett, 2019). Bell, Forsyth, Badcock, and Kingdom (2014) examined the adaptation of RF patterns and found that the magnitude of AEs was strongly dependent on the relative phase of adaptor and test RF patterns with the same polarity of luminance contrast.…”

mentioning

confidence: 91%

Phase specific shape aftereffects explained by the tilt aftereffect.

Bowden

Dickinson

Green

et al. 2019

Journal of Experimental Psychology: Human Perception and Perfor

View full text Add to dashboard Cite

Aftereffects of adaptation are frequently used to infer mechanisms of human visual perception. Commonly, the properties of stimuli are repelled from properties of the adaptor. For example, in the tilt aftereffect a line is repelled in orientation from a previously experienced line. Perceived orientation is predicted by the centroid of the responses of a population of mechanisms individually tuned to limited ranges of orientation but collectively sensitive to the whole possible range. Aftereffects are also predictable if the mechanisms are allowed to adapt. Adaptation across radial frequency patterns, patterns deformed from circular by a sinusoidal modulation of radius, causes repulsive aftereffects, sensitive to the relative amplitudes and orientations of the patterns. Here we show that these shape aftereffects can be accounted for by the application of local tilt aftereffects around the shape contour. We suggest that fields of tilt aftereffects might provide a general mechanism for exaggerating the perceptual difference between successively experienced stimuli, making them more discriminable. If the human visual system does indeed exploit this possibility, then the conclusions often made by studies assuming adaptation within mechanisms sensitive to the shape of stimuli will need to be reconsidered.

show abstract

“…Habak, Wilkinson, Zakher, and Wilson (2004) employed a lateral masking paradigm to study how abilities to perceptually represent contour shapes depend on abilities to represent the curvature features of those contours (see also Poirier & Wilson, 2007; Slugocki, Sekuler, & Bennett, 2019). A typical lateral masking effect occurs when it is more difficult to detect and discriminate a feature of a stimulus because it is nearby a perceptually similar stimulus.…”

Section: The Distribution Of Perceptual Statesmentioning

confidence: 99%

Mental structures

Lande

2020

Nous

View full text Add to dashboard Cite

An ongoing philosophical discussion concerns how various types of mental states fall within broad representational genera—for example, whether perceptual states are “iconic” or “sentential,” “analog” or “digital,” and so on. Here, I examine the grounds for making much more specific claims about how mental states are structured from constituent parts. For example, the state I am in when I perceive the shape of a mountain ridge may have as constituent parts my representations of the shapes of each peak and saddle of the ridge. More specific structural claims of this sort are a guide to how mental states fall within broader representational kinds. Moreover, these claims have significant implications of their own about semantic, functional, and epistemic features of our mental lives. But what are the conditions on a mental state's having one type of constituent structure rather than another? Drawing on explanatory strategies in vision science, I argue that, other things being equal, the constituent structure of a mental state determines what I call its distributional properties—namely, how mental states of that type can, cannot, or must co‐occur with other mental states in a given system. Distributional properties depend critically on and are informative about the underlying structures of mental states, they abstract in important ways from aspects of how mental states are processed, and they can yield significant insights into the variegation of psychological capacities.

show abstract

Phase-selective masking with radial frequency contours

Cited by 5 publications

References 48 publications

Sensitivity to curvature deformations along closed contours

Sensitivity to curvature deformations along closed contours

Phase specific shape aftereffects explained by the tilt aftereffect.

Mental structures

Contact Info

Product

Resources

About