A Bayesian framework for crowding effect
文献类型:会议论文
作者 | Xiaolan Fu![]() ![]() |
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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