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Edwin Dickinson J, Martin RA, Badcock DR. Lateral inhibition between banks of orientation selective channels predicts shape context effects: A tilt-illusion field. Vision Res 2021; 192:107975. [PMID: 34894488 DOI: 10.1016/j.visres.2021.107975] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 09/22/2021] [Accepted: 11/22/2021] [Indexed: 11/15/2022]
Abstract
The perceived shapes of almost circular paths are modified by concentrically placed context paths. These induced changes have previously been attributed to curvature masking. This paper shows that, instead, they can be explained by the impacts of local tilt illusions. First, the tilt-illusion was measured over the full range of orientation differences between short test and context lines and it was shown that the resulting function can be predicted by a model based on a vectorial population response of a bank of orientation selective channels, provided lateral inhibition between channels with the same orientation selectivity and adjacent receptive fields was postulated. Subsequently, it was demonstrated that, if the perceived shape of a test path were modified to accommodate the predicted local tilt-illusion, then this could account for previously reported changes in the detectability of a path sinusoidally modulated in radius. Further, we measured points of subjective vertical in test lines and points of subjective circularity in test paths when surrounded by modulated context paths. The tilt required to null the tilt-illusion approximated the maximum orientation difference from circular measured in the modulated paths at their point of subjective circularity, supporting the proposal that the illusory shape change is due to local changes in the position of the path arising from a response to local tilt illusions induced by the orientation context. An important corollary to this result is that such effects will generalize to all paths which are adjacent.
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Affiliation(s)
- J Edwin Dickinson
- School of Psychological Science, 35 Stirling Highway, University of Western Australia, Crawley, Perth, 6009 WA, Australia.
| | - Ruby A Martin
- School of Psychological Science, 35 Stirling Highway, University of Western Australia, Crawley, Perth, 6009 WA, Australia
| | - David R Badcock
- School of Psychological Science, 35 Stirling Highway, University of Western Australia, Crawley, Perth, 6009 WA, Australia
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2
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Dickinson JE, Tan KWS, Badcock DR. Analysis of shape uses local apparent position rather than physical position. J Vis 2021; 21:5. [PMID: 34473200 PMCID: PMC8419882 DOI: 10.1167/jov.21.10.5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Objects are often identified by the shapes of their boundaries. Here, by measuring threshold amplitudes for detection of sinusoidal modulation of local position, orientation and centrifugal speed in a closed path of Gabor patches, we show that the positions of such boundaries are misperceived to accommodate local illusions of orientation context and motion induced positional bias. These two types of illusion are shown to occur independently, but the misperception of position is additive. We conclude that, in the analysis of shape, the visual system uses the apparent rather than the veridical boundary conformation.
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Affiliation(s)
- J Edwin Dickinson
- School of Psychological Science, University of Western Australia, Crawley, Perth, Western Australia, Australia.,
| | - Ken W S Tan
- School of Psychological Science, University of Western Australia, Crawley, Perth, Western Australia, Australia.,Visual Neuroscience Group, School of Psychology, The University of Nottingham, Nottingham, UK.,
| | - David R Badcock
- School of Psychological Science, University of Western Australia, Crawley, Perth, Western Australia, Australia.,
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Slugocki M, Sekuler AB, Bennett PJ. Sensitivity to curvature deformations along closed contours. J Vis 2019; 19:7. [PMID: 31715630 DOI: 10.1167/19.13.7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Human observers are exquisitely sensitive to curvature deformations along a circular closed contour (Wilkinson, Wilson, & Habak, 1998; Hess, Wang, & Dakin, 1999; Loffler, Wilson, & Wilkinson, 2003). Such remarkable sensitivity has been attributed to the curvature encoding scheme used by V4 neurons, which typically are assumed to be equally sensitive to curvature at all polar angles (Pasupathy & Connor, 2001, 2002; Carlson, Rasquinha, Zhang, & Connor, 2011). 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 contour-curvature 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.
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Affiliation(s)
- Michael Slugocki
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada
| | - Allison B Sekuler
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada.,Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Patrick J Bennett
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada
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Slugocki M, Duong CQ, Sekuler AB, Bennett PJ. Evaluating spatiotemporal interactions between shapes. J Vis 2019; 19:30. [PMID: 31026017 DOI: 10.1167/19.4.30] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Spatiotemporal interactions between stimuli can alter the perceived curvature along the outline of a shape (Habak, Wilkinson, Zakher, & Wilson, 2004; Habak, Wilkinson, & Wilson, 2006). To better understand these interactions, we used a forward and backward masking paradigm with radial frequency (RF) contours while measuring RF detection thresholds. In Experiment 1, we presented a mask alongside a target contour and altered the stimulus onset asynchrony between this target-mask pair and a temporal mask. We found that a temporal mask increased thresholds when it preceded the target-mask stimulus by 130-180 ms but decreased thresholds when it followed the target-stimulus mask by 180 ms. Furthermore, Experiment 2 demonstrated that the effects of temporal and spatial masks are approximately additive. We discuss these findings in relation to theories of transient and sustained channels in vision.
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Affiliation(s)
- Michael Slugocki
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada
| | - Catherine Q Duong
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada
| | - Allison B Sekuler
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada.,Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Patrick J Bennett
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada
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Schmidtmann G, Fruend I. Radial frequency patterns describe a small and perceptually distinct subset of all possible planar shapes. Vision Res 2018; 154:122-130. [PMID: 30496727 DOI: 10.1016/j.visres.2018.10.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 10/04/2018] [Accepted: 10/25/2018] [Indexed: 11/18/2022]
Abstract
The visual system is exposed to a vast number of shapes and objects. Yet, human object recognition is effortless, fast and largely independent of naturally occurring transformations such as position and scale. The precise mechanisms of shape encoding are still largely unknown. Radial frequency (RF) patterns are a special class of closed contours defined by modulation of a circle's radius. These patterns have been frequently and successfully used as stimuli in vision science to investigate aspects of shape processing. Given their mathematical properties, RF patterns can not represent any arbitrary shape, but the ability to generate more complex, biologically relevant, shapes depicting the outlines of objects such as fruits or human heads raises the possibility that RF patterns span a representative subset of possible shapes. However, this assumption has not been tested before. Here we show that only a small fraction of all possible shapes can be represented by RF patterns and that this small fraction is perceptually distinct from the general class of all possible shapes. Specifically, we derive a general measure for the distance of a given shape's outline from the set of RF patterns, allowing us to scan large numbers of object outlines automatically. We find that only between 1% and 6% of naturally smooth outlines can be exactly represented by RF patterns. We present results from a visual search experiment, which revealed that searching an RF pattern among non-radial frequency patterns is efficient, whereas searching an RF pattern among other RF patterns is inefficient (and vice versa). These results suggest that RF patterns represent only a restricted subset of possible planar shapes and that results obtained with this special class of stimuli can not simply be expected to generalise to any arbitrary planar shape.
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Affiliation(s)
- Gunnar Schmidtmann
- Eye & Vision Research Group, School of Health Professions, University of Plymouth, Plymouth, Devon, UK
| | - Ingo Fruend
- Centre for Vision Research, and Department of Psychology, York University, Toronto, ON, Canada.
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Slugocki M, Sekuler AB, Bennett PJ. Phase-selective masking with radial frequency contours. Vision Res 2018; 154:1-13. [PMID: 30391293 DOI: 10.1016/j.visres.2018.10.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Revised: 10/18/2018] [Accepted: 10/18/2018] [Indexed: 11/26/2022]
Abstract
Sensitivity to changes in the shape of a closed-contour figure is affected by surrounding figures (Vision Research 44 (2004) 2815-2823). We examined how between-contour masking depends on radial frequency. Experiment 1 replicated previous studies that found that masking between adjacent radial frequency (RF) patterns was greatest when the two shapes were phase aligned, and that the magnitude of masking declined approximately linearly with increasing phase offsets. In addition, we found that the effect of phase offset on masking was very similar for RFs ranging from 3 to 8, a result that suggests that sensitivity to phase decreases with increasing radial frequency. Experiment 2 tested this idea and found that phase discrimination threshold for single cycles of curvature was approximately proportional to radial frequency. Experiment 3 showed that both curvature maxima and minima contribute to phase dependent masking between RF contours. Together, Experiments 1-3 demonstrate that the strength of phase-dependent masking does not depend on RF, but is related to sensitivity for phase shifts in isolated contours, and is affected by both positive and negative curvature extrema. We discuss these results in relation to properties of curvature sensitive neurons.
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Affiliation(s)
- Michael Slugocki
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada.
| | - Allison B Sekuler
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada; Department of Psychology, University of Toronto, Toronto, Ontario, Canada; Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada.
| | - Patrick J Bennett
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada.
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Green RJ, Dickinson JE, Badcock DR. Convergent evidence for global processing of shape. J Vis 2018; 18:7. [DOI: 10.1167/18.7.7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Affiliation(s)
- Robert J. Green
- School of Psychological Science, The University of Western Australia, Perth, Australia
| | - J. Edwin Dickinson
- School of Psychological Science, The University of Western Australia, Perth, Australia
| | - David R. Badcock
- School of Psychological Science, The University of Western Australia, Perth, Australia
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Green RJ, Dickinson JE, Badcock DR. Integration of shape information occurs around closed contours but not across them. J Vis 2018; 18:6. [DOI: 10.1167/18.5.6] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Affiliation(s)
- Robert J. Green
- School of Psychological Science, The University of Western Australia, Perth, Australia
| | - J. Edwin Dickinson
- School of Psychological Science, The University of Western Australia, Perth, Australia
| | - David R. Badcock
- School of Psychological Science, The University of Western Australia, Perth, Australia
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