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Not all spaces stretch alike: How the structure of morphspaces constrains the effect of category learning on shape perception

机译:并非所有空间都一样延伸:形态空间的结构如何限制类别学习对形状感知的影响

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How does the way we experience and categorize the world affect the way we visually perceive the world? By some perspectives, visual representations provide input for categorization but are not significantly altered by categorization. Others argue that perception is required for categorization but that categorization also alters visual perception. The latter view is supported by studies showing that visual features of categorized objects become more discriminable following category learning, but only if the features are useful or a??diagnostica?? for categorization. Evidence for this phenomenon is mixed, however. We investigate an explanation that has remained unexplored up to now: the structure of the morphspaces categorized by participants. Studies that do not find increases in discriminability often use a??polara?? morphspaces, with morph-parents lying at corners of the space, while studies with positive results use a??dimensionala?? spaces, defined by orthogonal morphlines, each a dimension created by morphing two parents. Using the same four morph-parents, we created dimensional and polar morphspaces matched in mean pair-discriminability. Categorization caused a selective increase in discriminability along the diagnostic dimension of the dimensional space, but not the polar space. This suggests that polar morphspaces should be used if one wishes to avoid selective increases in perceptual discriminability caused by categorization but dimensional morphspaces should be used if one is interested in the effect of selective attention to object properties. In addition, our results suggest that previous fMRI and electrophysiological studies finding little effect of category learning in the visual system (as well as modest behavioral effects on perception) may have been limited by the use of polar spaces.
机译:我们对世界的体验和分类方式如何影响我们在视觉上感知世界的方式?从某些角度来看,视觉表示为分类提供了输入,但分类没有显着改变。其他人则认为,感知是进行分类所必需的,但分类也会改变视觉感知。后一种观点得到了研究的支持,这些研究表明,分类学习后,分类对象的视觉特征变得更加可辨别,但前提是该特征是有用的或“可诊断”的。进行分类。但是,这种现象的证据好坏参半。我们调查了一个至今尚未探索的解释:参与者分类的词素空间的结构。未发现可辨别性增加的研究通常使用“极化”。 morphspaces,其中morph-parents位于该空间的各个角落,而具有正面结果的研究则使用“ Dimensiona”。由正交变形线定义的空间,每个空间都是通过变形两个父级而创建的尺寸。使用相同的四个morph-parents,我们创建了以均值对可分辨性匹配的维和极形态空间。分类沿着维度空间的诊断维度(而非极性空间)选择性地增加了可分辨性。这表明如果希望避免分类引起的感知可辨性的选择性增加,则应使用极性形态空间,而如果对对象属性的选择性关注效果感兴趣,则应使用尺寸形态空间。此外,我们的研究结果表明,以前的功能磁共振成像和电生理研究发现,视觉系统中类别学习的影响很小(以及对感知的适度行为影响)可能已经受到极地空间的限制。

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