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Ben Jennings, Frederick Kingdom; Different symmetries, different mechanisms. Journal of Vision 2018;18(10):623. doi: https://doi.org/10.1167/18.10.623.
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© ARVO (1962-2015); The Authors (2016-present)
We compared the detection of three different types of symmetry in a visual search paradigm: (i) mirror symmetry, i.e., reflection around a vertical axis, (ii) radial symmetry, i.e., rotations around a centre, and (iii) translational symmetry, i.e., horizontally shifted repetitions. Observers located a single patch containing symmetric dots among varying numbers of distractor patches containing random dots. We used a blocked present/absent protocol and recorded both search times and accuracy. Search times for mirror- and radial-symmetry increased significantly with the number of distractors, but with the translational patterns search slopes were close to zero. Fourier analysis revealed that, as with images of natural scenes, the structural information in both mirror- and radial-symmetric patterns is carried by the phase spectrum. For translational patterns on the other hand the structural information is carried by the amplitude spectrum, consistent with previous analyses of perfectly regular dot patterns. Further analysis revealed that while the mirror and radial patterns produced an approximately Gaussian shaped energy response profile as a function of spatial frequency, the translational pattern profiles contained a distinctive spike, whose magnitude corresponded to the number of repeating sectors. We hence propose distinct mechanisms for the detection of different types of symmetry. A mechanism that utilises phase information, i.e., the spatial relationships among the dots, used to detect the mirror- and radial-symmetric patterns. On the other hand a pre-attentive mechanism that utilises amplitude information, for example the pattern of energy across spatial frequency, is responsible for the detection of translational symmetry and explains why translational symmetry is a pop-out feature.
Meeting abstract presented at VSS 2018
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