A Bayesian framework for crowding effect

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	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 GB/T 7714	Zhenbo Cheng,Wenfeng Chen,Tian Ran,et al. A Bayesian framework for crowding effect[C]:IEEE,2010.