Protonotarios, ED;
Griffin, LD;
Johnston, A;
Landy, MS;
(2018)
A spatial frequency spectral peakedness model predicts discrimination performance of regularity in dot patterns.
Vision Research
, 149
pp. 102-114.
10.1016/j.visres.2018.06.008.
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Abstract
Subjective assessments of spatial regularity are common in everyday life and also in science, for example in developmental biology. It has recently been shown that regularity is an adaptable visual dimension. It was proposed that regularity is coded via the peakedness of the distribution of neural responses across receptive field size. Here, we test this proposal for jittered square lattices of dots. We examine whether discriminability correlates with a simple peakedness measure across different presentation conditions (dot number, size, and average spacing). Using a filter-rectify-filter model, we determined responses across scale. Consistently, two peaks are present: a lower frequency peak corresponding to the dot spacing of the regular pattern and a higher frequency peak corresponding to the pattern element (dot). We define the “peakedness” of a particular presentation condition as the relative heights of these two peaks for a perfectly regular pattern constructed using the corresponding dot size, number and spacing. We conducted two psychophysical experiments in which observers judged relative regularity in a 2-alternative forced-choice task. In the first experiment we used a single reference pattern of intermediate regularity and, in the second, Thurstonian scaling of patterns covering the entire range of regularity. In both experiments discriminability was highly correlated with peakedness for a wide range of presentation conditions. This supports the hypothesis that regularity is coded via peakedness of the distribution of responses across scale.
| Type: | Article |
|---|---|
| Title: | A spatial frequency spectral peakedness model predicts discrimination performance of regularity in dot patterns |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.visres.2018.06.008 |
| Publisher version: | http://dx.doi.org/10.1016/j.visres.2018.06.008 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Regularity, Dot pattern, Spatial vision, Discrimination, Coding, RANDOM NUMEROSITY ILLUSION, TEXTURE-DISCRIMINATION, PSYCHOMETRIC FUNCTION, PERCEIVED NUMEROSITY, LOCAL SYMMETRY, VISUAL-CORTEX, QUANTIFICATION, PSYCHOPHYSICS, ARRANGEMENT, ORIENTATION |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10057120 |
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