Causal inference in perception

被引:250
|
作者
Shams, Ladan [1 ]
Beierholm, Ulrik R. [2 ]
机构
[1] Univ Calif Los Angeles, Dept Psychol, Los Angeles, CA 90095 USA
[2] UCL, Gatsby Computat Neurosci Unit, London WC1N 3AR, England
关键词
INFORMATION; COMBINATION; INTEGRATION; STATISTICS; MODEL; CUE;
D O I
10.1016/j.tics.2010.07.001
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Until recently, the question of how the brain performs causal inference has been studied primarily in the context of cognitive reasoning. However, this problem is at least equally crucial in perceptual processing. At any given moment, the perceptual system receives multiple sensory signals within and across modalities and, for example, has to determine the source of each of these signals. Recently, a growing number of studies from various fields of cognitive science have started to address this question and have converged to very similar computational models. Therefore, it seems that a common computational strategy, which is highly consistent with a normative model of causal inference, is exploited by the perceptual system in a variety of domains.
引用
收藏
页码:425 / 432
页数:8
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