Contextual and spatial associations between objects interactively modulate visual processing

Genevieve L. Quek, Marius V. Peelen

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Much of what we know about object recognition arises from the study of isolated objects. In the real world, however, we commonly encounter groups of contextually associated objects (e.g., teacup and saucer), often in stereotypical spatial configurations (e.g., teacup above saucer). Here we used electroencephalography to test whether identity-based associations between objects (e.g., teacup–saucer vs. teacup–stapler) are encoded jointly with their typical relative positioning (e.g., teacup above saucer vs. below saucer). Observers viewed a 2.5-Hz image stream of contextually associated object pairs intermixed with nonassociated pairs as every fourth image. The differential response to nonassociated pairs (measurable at 0.625 Hz in 28/37 participants) served as an index of contextual integration, reflecting the association of object identities in each pair. Over right occipitotemporal sites, this signal was larger for typically positioned object streams, indicating that spatial configuration facilitated the extraction of the objects’ contextual association. This high-level influence of spatial configuration on object identity integration arose ∼ 320 ms post-stimulus onset, with lower-level perceptual grouping (shared with inverted displays) present at ∼ 130 ms. These results demonstrate that contextual and spatial associations between objects interactively influence object processing. We interpret these findings as reflecting the high-level perceptual grouping of objects that frequently co-occur in highly stereotyped relative positions.
Original languageEnglish
Pages (from-to)6391-6404
Number of pages14
JournalCerebral Cortex
Volume30
Issue number12
DOIs
Publication statusPublished - 2020

Open Access - Access Right Statement

© The Author(s) 2020. Published by Oxford University Press on behalf of The Institute of Mathematics and its Applications. All rights reserved. For permissions, please email: [email protected] This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/ licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact [email protected]

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