Perception as evidence accumulation and Bayesian inference: Insights from masked priming
Perception as evidence accumulation and Bayesian inference: Insights from masked priming
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DOI：
10.1037/a0012799
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发表时间：
2008-08-01
影响因子：
4.1
通讯作者：
Kinoshita, Sachiko
中科院分区：
文献类型：
--
作者：
Norris, Dennis;Kinoshita, Sachiko
作者认为，知觉是贝叶斯推理的基础上积累的噪音证据，并在掩蔽启动，知觉系统被骗到处理的主要和目标作为一个单一的对象。2算法考虑正式如何从一个总理和目标采样的证据相结合，只有1被证明是与现有的数据一致的视觉文字识别文献。该算法被纳入贝叶斯阅读器模型（D。Norris，2006），其预测在3个实验中得到证实。实验结果表明，掩蔽启动的模式并不是启动词与目标词之间关系的固定函数，而是可以通过将任务从词汇判断转变为同异判断而发生根本性的改变。本文还讨论了掩蔽启动的贝叶斯框架对无意识认知和视觉掩蔽的影响。
The authors argue that perception is Bayesian inference based on accumulation of noisy evidence and that, in masked priming, the perceptual system is tricked into treating the prime and the target as a single object. Of the 2 algorithms considered for formalizing how the evidence sampled from a prime and target is combined, only 1 was shown to be consistent with the existing data from the visual word recognition literature. This algorithm was incorporated into the Bayesian Reader model (D. Norris, 2006), and its predictions were confirmed in 3 experiments. The experiments showed that the pattern of masked priming is not a fixed function of the relations between the prime and the target but can be changed radically by changing the task from lexical decision to a same-different judgment. Implications of the Bayesian framework of masked priming for unconscious cognition and visual masking are discussed.