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The role of edge-based and surface-based information in natural scene categorization: evidence from behavior and event-related potentials
journal contribution
posted on 2023-06-09, 01:46 authored by Qiufang Fu, Yong-Jin Liu, Zoltan DienesZoltan Dienes, Jianhui Wu, Wenfeng Chen, Xiaolan FuA fundamental question in vision research is whether visual recognition is determined by edge-based information (e.g., edge, line, and conjunction) or surface-based information (e.g., color, brightness, and texture). To investigate this question, we manipulated the stimulus onset asynchrony (SOA) between the scene and the mask in a backward masking task of natural scene categorization. The behavioral results showed that correct classification was higher for line-drawings than for color photographs when the SOA was 13ms, but lower when the SOA was longer. The ERP results revealed that most latencies of early components were shorter for the line-drawings than for the color photographs, and the latencies gradually increased with the SOA for the color photographs but not for the line-drawings. The results provide new evidence that edge-based information is the primary determinant of natural scene categorization, receiving priority processing; by contrast, surface information takes longer to facilitate natural scene categorization.
History
Publication status
- Published
File Version
- Accepted version
Journal
Consciousness and CognitionISSN
1053-8100Publisher
ElsevierExternal DOI
Volume
43Page range
152-166Department affiliated with
- Psychology Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2016-06-20First Open Access (FOA) Date
2018-06-14First Compliant Deposit (FCD) Date
2016-06-20Usage metrics
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