A Bayesian framework for crowding effect
Zhenbo Cheng; Wenfeng Chen; Tian Ran; Zhidong Deng; Xiaolan Fu
2010
会议名称Control and Decision Conference (CCDC), 2010 Chinese
会议日期2010
会议地点Xuzhou
出版者IEEE
摘要In crowding, neighboring distractors impair the visual perception of a presented ta get. We study influences by the configuration of distractors on the bias to perceive the orientation of a target. Our results show that: (a) when distractors are similar to each other but different from target, crowding is decreased; (b) when distractors form a subjective contour, crowding is also reduced. These results illustrate that crowding is weak whenever the target stands out from the context and strong when the target is grouped into the context as a part of a global percept. In addition, we show how a Bayesian model, based on the principle of spatial resolution of attention that is modulated by the large size of receptive fields, can account for the behavioral data.
关键词Bayesian Model Crowding Effect Generative Model Inferential Model
学科领域认知心理学
ISBN号978-1-4244-5181-4
收录类别EI
语种英语
文献类型会议论文
条目标识符http://ir.psych.ac.cn/handle/311026/10116
专题中国科学院心理研究所回溯数据库(1956-2010)
推荐引用方式
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Zhenbo Cheng,Wenfeng Chen,Tian Ran,et al. A Bayesian framework for crowding effect[C]:IEEE,2010.
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