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Visual search for object categories is predicted by the representational architecture of high-level visual cortex.

Abstract：

:Visual search is a ubiquitous visual behavior, and efficient search is essential for survival. Different cognitive models have explained the speed and accuracy of search based either on the dynamics of attention or on similarity of item representations. Here, we examined the extent to which performance on a visual search task can be predicted from the stable representational architecture of the visual system, independent of attentional dynamics. Participants performed a visual search task with 28 conditions reflecting different pairs of categories (e.g., searching for a face among cars, body among hammers, etc.). The time it took participants to find the target item varied as a function of category combination. In a separate group of participants, we measured the neural responses to these object categories when items were presented in isolation. Using representational similarity analysis, we then examined whether the similarity of neural responses across different subdivisions of the visual system had the requisite structure needed to predict visual search performance. Overall, we found strong brain/behavior correlations across most of the higher-level visual system, including both the ventral and dorsal pathways when considering both macroscale sectors as well as smaller mesoscale regions. These results suggest that visual search for real-world object categories is well predicted by the stable, task-independent architecture of the visual system. NEW & NOTEWORTHY:Here, we ask which neural regions have neural response patterns that correlate with behavioral performance in a visual processing task. We found that the representational structure across all of high-level visual cortex has the requisite structure to predict behavior. Furthermore, when directly comparing different neural regions, we found that they all had highly similar category-level representational structures. These results point to a ubiquitous and uniform representational structure in high-level visual cortex underlying visual object processing.

journal_name

J Neurophysiol

journal_title

Journal of neurophysiology

authors

Cohen MA,Alvarez GA,Nakayama K,Konkle T

doi

10.1152/jn.00569.2016

subject

Has Abstract

pub_date

2017-01-01 00:00:00

pages

388-402

issue

eissn

0022-3077

issn

1522-1598

pii

jn.00569.2016

journal_volume

117

pub_type

杂志文章

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Visual search for object categories is predicted by the representational architecture of high-level visual cortex.