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Mid-level features are sufficient to drive the animacy and object size organization of the ventral stream

机译:中层功能足以驱动腹侧流的动画效果和对象大小组织

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The ventral visual stream exhibits a large-scale organization by the dimensions of animacy and real-world size (Konkle & Caramazza, 2013). While this organization could reflect a conceptual-level distinction, there are also perceptual differences between animals, big objects, and small objects, evidenced by systematic mid-level feature differences (Long et al., 2016). Here, we examined whether these mid-level feature differences are sufficient to drive the ventral stream organization by animacy and object size. Using a customized texture synthesis model, we created a stimulus set from images of big animals, big objects, small animals, and small objects. These stimuli preserve mid-level information about texture and form ("texforms"), but are unrecognizable at the basic-level. Eight observers underwent functional neuroimaging while viewing texform images and the original counterparts. For each voxel in the ventral stream, we computed animacy preferences (animals a?? objects) and real-world size preferences (small objects a?? big objects), for both original and texforms images. These preference maps were correlated with each other to assess the similarity of the animacy and real-world size topographies. Overall, we found that texforms elicited robust animacy and size preference maps across the entire ventral stream. Further, these maps exhibited a highly similar spatial topography to the maps generated when observers viewed recognizable images (Animacy: r=.76, t(7)=22.3, p 0.001; Size: r=.43, t(7)=5.7, p 0.001). In a replication experiment, we presented images above and below fixation, and again found that texforms and original images generated similar topographies (Animacy: r=.69, t(7)=9.8, p 0.001; Size: r=.36, t(7)=5.4, p=0.001). These results demonstrate that the ventral stream organization does not rely on intact basic-level recognition, and that mid-level feature differences drive ventral visual cortex in a way that is not simply inherited from retinotopy. Broadly, these data imply that mid-level perceptual information is represented along the ventral stream well beyond early visual areas.
机译:腹侧视觉流通过动画和现实世界的大小展示了一个大型组织(Konkle&Caramazza,2013)。虽然这种组织可以反映概念上的区别,但动物,大对象和小对象之间也存在感知上的差异,这由系统的中层特征差异证明(Long et al。,2016)。在这里,我们检查了这些中层特征差异是否足以通过动画效果和对象大小来驱动腹侧流组织。使用定制的纹理合成模型,我们从大型动物,大型物体,小型动物和小型物体的图像创建了一个刺激集。这些刺激保留有关纹理和形状(“ texforms”)的中间级别的信息,但在基本级别上无法识别。八名观察者在观察texform图像和原始图像时进行了功能性神经成像。对于腹侧流中的每个体素,我们为原始图像和纹理图像计算了动画偏好(动物a ??对象)和实际大小偏好(小对象a ??大对象)。这些偏好图相互关联,以评估动画和实际大小地形的相似性。总体而言,我们发现texforms引发了整个腹侧流的鲁棒性和大小偏好图。此外,这些地图的空间地形与观察者观看可识别图像时生成的地图高度相似(动画性:r = .76,t(7)= 22.3,p <0.001;大小:r = .43,t(7)= 5.7,p <0.001)。在复制实验中,我们展示了固定上方和下方的图像,并再次发现texform和原始图像生成了类似的地形图(动画:r = .69,t(7)= 9.8,p <0.001;大小:r = .36, t(7)= 5.4,p = 0.001)。这些结果表明,腹侧流组织不依赖完整的基本水平识别,而中层特征差异驱动腹侧视觉皮层的方式并不简单地来自于视网膜检影。从广义上讲,这些数据暗示着中级知觉信息沿腹侧流的方向远远超出了早期视觉区域。

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