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中央凹外视觉中感知维度的降低。

Reduced perceptual dimensionality in extrafoveal vision.

作者信息

Jüttner M, Rentschler I

机构信息

Institut für Medizinische Psychologie, Universität München, Germany.

出版信息

Vision Res. 1996 Apr;36(7):1007-22. doi: 10.1016/0042-6989(95)00250-2.

DOI:10.1016/0042-6989(95)00250-2
PMID:8736260
Abstract

The classification behaviour of human observers with respect to compound Gabor signals is tested at foveal and extrafoveal retinal positions. Classification performance is analysed in terms of a probabilistic classification model recently proposed by Rentschler, Jüttner and Caelli [(1994) Vision Research, 34, 669-687]. The analysis allows inferences about structure and dimensionality of the individual internal representations underlying the classification task and their temporal evolution during the learning process. Using this technique it is found that the internal representations of direct and eccentric viewing are intrinsically incommensurable, in the sense that extrafoveal pattern representations are characterized by a lower perceptual dimension in feature space relative to the corresponding physical input signals, whereas foveal representations are not. The observed deficits cannot be renormalized by size scaling (cortical magnification); however, they can be partially reduced by learning although the learning progress strongly depends on the observer's practice. The structural incommensurability between foveal and extrafoveal representations poses constraints on possible forms of foveal-extrafoveal interaction, which might have implications on related perceptual phenomena such as visual stability across saccadic eye movements.

摘要

在中央凹和中央凹外视网膜位置测试了人类观察者对复合Gabor信号的分类行为。根据Rentschler、Jüttner和Caelli最近提出的概率分类模型[(1994)《视觉研究》,34,669 - 687]分析分类性能。该分析允许推断分类任务背后个体内部表征的结构和维度及其在学习过程中的时间演变。使用这种技术发现,直接观察和偏心观察的内部表征本质上是不可通约的,从这个意义上说,相对于相应的物理输入信号,中央凹外模式表征在特征空间中的感知维度较低,而中央凹表征则不然。观察到的缺陷不能通过大小缩放(皮质放大)进行归一化;然而,尽管学习进展很大程度上取决于观察者的练习,但它们可以通过学习部分减少。中央凹和中央凹外表征之间的结构不可通约性对中央凹 - 中央凹外相互作用的可能形式构成了限制,这可能对相关的感知现象有影响,如扫视眼动过程中的视觉稳定性。

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