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Creating Objects and Object Categories for Studying Perception and Perceptual Learning
Published on: November 2, 2012
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Influence of peripheral vision on object categorization in central vision
Alexia Roux-Sibilon1, Audrey Trouilloud1, Louise Kauffmann1,2
1University Grenoble Alpes, University of Savoie Mont Blanc, CNRS, LPNC, Grenoble, France.
Journal of Vision
|December 12, 2019
Summary
Peripheral vision
Area of Science:
- Cognitive psychology
- Neuroscience
- Visual perception
Background:
- Predictive models suggest low spatial frequencies (LSF) guide high spatial frequencies (HSF) processing.
- HSF signals originate from central vision, while LSF signals are primarily from peripheral vision.
Purpose of the Study:
- Investigate how peripheral LSF generate predictive signals for central vision.
- Understand the role of peripheral semantic information in guiding foveated object recognition.
Main Methods:
- Two experiments involved object categorization in central vision with peripheral scene backgrounds.
- Peripheral scenes were either semantically congruent or incongruent to the central object.
- Experiment 1 manipulated scene onset timing; Experiment 2 manipulated scene integrity (intact vs. phase-scrambled).
Main Results:
- A congruence effect was observed when the peripheral scene preceded object onset (Experiment 1).
- This effect occurred only with intact peripheral scenes carrying semantic meaning, not phase-scrambled ones (Experiment 2).
Conclusions:
- Peripheral vision's low resolution aids central object processing through predictive semantic cues.
- Findings support predictive models of visual recognition, highlighting the interplay between peripheral and central vision.
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