中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Bayesian framework for crowding effect

文献类型:会议论文

作者Xiaolan Fu; Wenfeng Chen
出版日期2010
会议名称Control and Decision Conference (CCDC), 2010 Chinese
会议日期2010
会议地点Xuzhou
关键词Bayesian Model Crowding Effect Generative Model Inferential Model
中文摘要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.
收录类别EI
合作状况其它
会议录出版者IEEE
学科主题认知心理学
语种英语
ISBN号978-1-4244-5181-4
源URL[http://ir.psych.ac.cn/handle/311026/10116]  
专题心理研究所_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
Xiaolan Fu,Wenfeng Chen. A Bayesian framework for crowding effect[C]. 见:Control and Decision Conference (CCDC), 2010 Chinese. Xuzhou. 2010.

入库方式: OAI收割

来源:心理研究所

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