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一种属性分析器模型在预测简单和复杂图形适应模式方面的评估。

An assessment of a property analyzer model in predicting adaptation patterns of simple and complex figures.

作者信息

Salmon P G, Rodwan A S

出版信息

Percept Mot Skills. 1978 Dec;47(3 Pt 2):1339-44. doi: 10.2466/pms.1978.47.3f.1339.

Abstract

Selective adaptation patterns of simple contours and geometrical illusions under monocular stimulation were studied with five subjects. A strict property analyzer model predicted that adaptation patterns would mirror figural contours of both types of forms. The results supported this hypothesis: the geometrical illusions generated adaptation patterns reflecting their physical stimulus properties rather than the illusory percept resulting from contextual juxtaposition. The results are discussed with respect to a model of feature extraction which assumes that property analyzers possess a sensitivity bandwidth.

摘要

我们对五名受试者进行了单眼刺激下简单轮廓和几何错觉的选择性适应模式研究。一个严格的属性分析器模型预测,适应模式将反映这两种形式的图形轮廓。结果支持了这一假设:几何错觉产生的适应模式反映了它们的物理刺激属性,而不是由上下文并列产生的错觉感知。我们根据一个特征提取模型对结果进行了讨论,该模型假设属性分析器具有一个灵敏度带宽。

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