ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2009, Vol. 17 ›› Issue (4): 659-666.

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多感官线索整合的理论模型

文小辉;刘强;孙弘进 等   

  1. (认知与人格教育部重点实验室(西南大学),重庆 400715) (西南大学心理学院,重庆 400715)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-07-15 发布日期:2009-07-15

Theoretical Models of Multisensory Cues Integration

  1. <PRE style=
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-07-15 Published:2009-07-15

摘要: 日常生活中,人脑能联合来自不同感官通道的线索对外部世界中的物体和事件进行感知。这些感官通道采用不同的参照系来表征物体的特征和位置;而且各种线索的可靠性也不恒定,根据环境而改变。但是人脑依然能够有效地整合这些线索,对物体和事件进行正确的感知。在以往研究的基础上,总结评述了多感官线索整合的几种理论模型及其验证结果,其中重点介绍了近年来引起广泛关注的贝叶斯统计优化模型。未来的研究应结合虚拟现实技术和脑成像技术对多感官线索整合进行探讨。

关键词: 多感官整合, 通道精确, 贝叶斯, 最大似然估计, 整合的时间窗口

Abstract:

In our daily lives, people integrate various kinds of cues from different modalities to perceive events or objects. These modalities represent the properties and positions of objects by adopting different reference frameworks. Moreover, the reliability of each cue varies as environment changes. However, human brains could integrate these cues effectively to perceive objects exactly. We highlight some of the models that underlie the integration of the modalities in human brain and mainly summarize the statistic optimization model based on the theory of Bayesian. The related research in the future could be studied by combining the virtual reality and neuroimaging techniques to investigate the mechanisms of multisensory cues integration.

Key words: Multisensory Integration, Modality Precision, Bayesian, Maximum Likelihood Estimate, Time-Window-of-Integration (TWIN)