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首页> 外文期刊>Cerebral cortex >The Impact of Density and Ratio on Object-Ensemble Representation in Human Anterior-Medial Ventral Visual Cortex
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The Impact of Density and Ratio on Object-Ensemble Representation in Human Anterior-Medial Ventral Visual Cortex

机译:密度与比率对人类前内侧腹侧视觉皮层对象集合表示的影响

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摘要

Behavioral research has demonstrated that observers can extract summary statistics from ensembles of multiple objects. We recently showed that a region of anterior-medial ventral visual cortex, overlapping largely with the scene-sensitive parahippocampal place area (PPA), participates in object-ensemble representation. Here we investigated the encoding of ensemble density in this brain region using fMRI-adaptation. In Experiment 1, we varied density by changing the spacing between objects and found no sensitivity in PPA to such density changes. Thus, density may not be encoded in PPA, possibly because object spacing is not perceived as an intrinsic ensemble property. In Experiment 2, we varied relative density by changing the ratio of 2 types of objects comprising an ensemble, and observed significant sensitivity in PPA to such ratio change. Although colorful ensembles were shown in Experiment 2, Experiment 3 demonstrated that sensitivity to object ratio change was not driven mainly by a change in the ratio of colors. Thus, while anterior-medial ventral visual cortex is insensitive to density (object spacing) changes, it does code relative density (object ratio) within an ensemble. Object-ensemble processing in this region may thus depend on high-level visual information, such as object ratio, rather than low-level information, such as spacing/spatial frequency.
机译:行为研究表明,观察者可以从多个物体的集合中提取摘要统计数据。我们最近表明,前内侧腹侧视觉皮层的区域主要与场景敏感的ParahipPopopal Place区域(PPA)重叠,参与对象集合表示。在这里,我们使用FMRI适应调查了该脑区域中的集合密度的编码。在实验1中,我们通过改变物体之间的间隔而变化密度,并且发现PPA对这种密度变化没有灵敏度。因此,密度可以在PPA中编码,可能是因为对象间距未被视为内在的集合特性。在实验2中,我们通过改变包含集合的2种物体的比例来改变相对密度,并且观察到PPA对这种比率变化的显着灵敏度。虽然在实验2中显示了五颜六色的合奏,但实验3证明了对象比变化的敏感性不是主要通过颜色比例的变化来驱动。因此,虽然前内侧腹侧视觉皮质对密度(物体间距)的变化不敏感,但它在集合中的代码相对密度(物体比)。因此,该区域中的对象集合处理可以取决于高级视觉信息,例如对象比,而不是低电平信息,例如间隔/空间频率。

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