作者: Alexia Roux-Sibilon , Audrey Trouilloud , Louise Kauffmann , Nathalie Guyader , Martial Mermillod
DOI: 10.1167/19.14.7
关键词: Computer vision 、 Categorization 、 Peripheral vision 、 Central vision 、 Object (computer science) 、 Congruence (geometry) 、 Artificial intelligence 、 Spatial frequency 、 Visual recognition 、 Signal 、 Computer science
摘要: Predictive models of visual recognition state that predictions based on the rapid processing low spatial frequencies (LSF) may guide subsequent high (HSF). While HSF signal necessarily comes from central vision, most LSF peripheral vision. The present study aimed at understanding how in vision be used to generate predictive signals processes In two experiments, participants performed an object categorization task while a semantically congruent or incongruent scene background was displayed Experiment 1, results showed congruence effect when before onset. 2, only intact, thus carrying semantic meaning, but not it phase-scrambled, low-level information. suggests resolution facilitates foveated objects scene, line with recognition.