2010
DOI: 10.1007/s00422-010-0379-5
|View full text |Cite
|
Sign up to set email alerts
|

Center-of-mass alterations and visual illusion of extent

Abstract: In the present communication, we have developed a computational model related to the conception of positional coding via centers-of-masses (centroids) of the objects' luminance distributions. The model predictions have been tested by the results of our psychophysical study of geometrical illusion of extent evoked by a modified Brentano figure consisting of three separate spots clusters. In experiments, the centroids of the clusters were manipulated by varying the positions of additional non-target spots flanki… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

3
7
0

Year Published

2011
2011
2020
2020

Publication Types

Select...
8

Relationship

3
5

Authors

Journals

citations
Cited by 13 publications
(10 citation statements)
references
References 44 publications
3
7
0
Order By: Relevance
“…For comparison, if we take as the criterion of the minimum separation between the target and the flanker two standard deviations that specify their Gaussian profiles, then the calculation (2×k) of the scale factor for grand-mean data from our current study yields a value of about 0.39. Importantly, this value closely matches the estimate (0.34±0.09) of the corresponding slope established in the previous study of the Brentano illusion evoked by stimuli composed of separate dots (Bulatov et al, 2010). However, it should be stressed that the above comparisons concern only issues of spatial scaling across retinal eccentricity, and do not imply any common base for neural mechanisms underlying different types of illusions and crowding.…”
Section: Discussionsupporting
confidence: 89%
“…For comparison, if we take as the criterion of the minimum separation between the target and the flanker two standard deviations that specify their Gaussian profiles, then the calculation (2×k) of the scale factor for grand-mean data from our current study yields a value of about 0.39. Importantly, this value closely matches the estimate (0.34±0.09) of the corresponding slope established in the previous study of the Brentano illusion evoked by stimuli composed of separate dots (Bulatov et al, 2010). However, it should be stressed that the above comparisons concern only issues of spatial scaling across retinal eccentricity, and do not imply any common base for neural mechanisms underlying different types of illusions and crowding.…”
Section: Discussionsupporting
confidence: 89%
“…The latter feature of the subsystem necessarily requires the normalization of its input values (to provide initial amplitude-independent conditions); it is worth mentioning here that the normalization of neural activity plays an important role in information processing at different levels of the nervous system (Reynolds and Heeger 2009, Olsen et al 2010, Carandini and Heeger 2012, Vokoun et al 2014. In turn, the output of the subsystem can be generated by means of the mechanism similar to that of a weighted spatial pooling of the neural excitation within Gaussian-shaped attentional windows (which linearly increase in width with visual eccentricity), proposed earlier to account for procedures of automatic centroid extraction in length illusions of the Müller-Lyer type (Bulatov et al 2010). Then, the contextual filling of the stimulus interval can be considered as a source of an additional distorting signal that induces (due to the increased cumulative response of the subsystem) perceptual biases in the assessment of the coordinates of relevant terminators, and thereby causes misjudgments in a length-matching task.…”
Section: Experimental Data Modelingmentioning
confidence: 99%
“…In order to resolve this issue, it seems reasonable to suppose that, due to lateral interactions, the neural representation of the original stimulus pattern can be obtained through its convolution with a Gaussian function (Bocheva andMitrani 1993, Bulatov et al 2009), the width of which in general is eccentricity-dependent. If one assumes, for the sake of simplicity, a Gaussian function with σ equal to that of the attentional window (Bulatov et al 2010), then for the stimulus with equally spaced dots in the reference interval (Fig. 1D) the corresponding one-dimensional profile of neural excitation can be described using the following formula: ,…”
Section: Experimental Data Modelingmentioning
confidence: 99%
“…Some psychophysical studies' findings revealed that the perception of the spatial separation of visual objects is strongly affected by neural processes of localization of the centroids of their luminance profiles (Baud-Bovy & Soechting, 2001;Hirsch & Mjolsness, 1992;McGraw, Whitaker, Badcock, & Skillen, 2003;Watt & Morgan, 1985;Whitaker, McGraw, Pacey, & Barrett, 1996;Wright, Morris, & Krekelberg, 2011). The implementation of the concept of "centroid biases" (Morgan et al, 1990) in modeling the Müller-Lyer illusion (Bulatov, Bertulis, Bulatova, & Loginovich, 2009;Bulatov, Bertulis, Gutauskas, Mickienė, & Kadzienė, 2010) quantitatively confirmed that length misjudgments can be associated with errors in the perceptual localization of stimuli terminators. According to the model, the illusion occurs because of local processes of automatic centroid extraction (one of the options for spatial-frequency filtering through spatial convolution), which causes metric distortions of the profile of neural activity (i.e., physically change the distance between the profile peaks).…”
mentioning
confidence: 89%