Spinning objects and partial occlusion: Smart neural responses to symmetry.



Rampone, Giulia ORCID: 0000-0002-2710-688X, Makin, Alexis DJ ORCID: 0000-0002-4490-7400, Tyson-Carr, John ORCID: 0000-0003-3364-2184 and Bertamini, Marco ORCID: 0000-0001-8617-6864
(2021) Spinning objects and partial occlusion: Smart neural responses to symmetry. Vision research, 188. pp. 1-9.

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Abstract

In humans, extrastriate visual areas are strongly activated by symmetry. However, perfect symmetry is rare in natural visual images. Recent findings showed that when parts of a symmetric shape are presented at different points in time the process relies on a perceptual memory buffer. Does this temporal integration need a retinotopic reference frame? For the first time we tested integration of parts both in the temporal and spatial domain, using a non-retinotopic frame of reference. In Experiment 1, an irregular polygonal shape (either symmetric or asymmetric) was partly occluded by a rectangle for 500 ms (T1). The rectangle moved to the opposite side to reveal the other half of the shape, whilst occluding the previously visible half (T2). The reference frame for the object was static: the two parts stimulated retinotopically corresponding receptive fields (revealed over time). A symmetry-specific ERP response from ~300 ms after T2 was observed. In Experiment 2 dynamic occlusion was combined with an additional step at T2: the new half-shape and occluder were rotated by 90°. Therefore, there was a moving frame of reference and the retinal correspondence between the two parts was disrupted. A weaker but significant symmetry-specific response was recorded. This result extends previous findings: global symmetry representation can be achieved in extrastriate areas non-retinotopically, through integration in both temporal and spatial domain.

Item Type: Article
Uncontrolled Keywords: Non-retinotopic sensory memory (nrSM), Non-retinotopic reference-frame, Symmetry representation, ERP, Visual occlusion, Sustained Posterior Negativity
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Population Health
Depositing User: Symplectic Admin
Date Deposited: 05 Aug 2021 10:25
Last Modified: 18 Jan 2023 21:34
DOI: 10.1016/j.visres.2021.06.009
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3132468