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随机模型与双关图形反转时间的波动

Stochastic models and fluctuations in reversal time of ambiguous figures.

作者信息

De Marco A, Penengo P, Trabucco A

出版信息

Perception. 1977;6(6):645-56. doi: 10.1068/p060645.

Abstract

Five probability distributions for the description of temporal fluctuations in the perception of ambiguous figures were fitted to previously obtained experimental results and classified according to their efficiency in describing the data. The gamma, Wiener, and Capocelli-Riciardi distributions showed the highest efficiency, while the chi2 and Taylor-Aldridge distributions showed a very low effiency. Therefore the underlying process may be described either by a simple Poisson model or by a random-walk model. For the gamma distribution there was a strong correlation between the parameters, while for the Wiener distribution this correlation was lower.

摘要

五种用于描述模糊图形感知中时间波动的概率分布被拟合到先前获得的实验结果中,并根据它们描述数据的效率进行分类。伽马分布、维纳分布和卡波切利-里恰尔迪分布显示出最高的效率,而卡方分布和泰勒-奥尔德里奇分布显示出非常低的效率。因此,潜在过程可以用简单的泊松模型或随机游走模型来描述。对于伽马分布,参数之间存在很强的相关性,而对于维纳分布,这种相关性较低。

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