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Neuroimaging Findings on Amodal Completion: A Review

机译:神经影像学发现无模式完成:审查。

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Amodal completion is the phenomenon of perceiving completed objects even though physically they are partially occluded. In this review, we provide an extensive overview of the results obtained from a variety of neuroimaging studies on the neural correlates of amodal completion. We discuss whether low-level and high-level cortical areas are implicated in amodal completion; provide an overview of how amodal completion unfolds over time while dissociating feedforward, recurrent, and feedback processes; and discuss how amodal completion is represented at the neuronal level. The involvement of low-level visual areas such as V1 and V2 is not yet clear, while several high-level structures such as the lateral occipital complex and fusiform face area seem invariant to occlusion of objects and faces, respectively, and several motor areas seem to code for object permanence. The variety of results on the timing of amodal completion hints to a mixture of feedforward, recurrent, and feedback processes. We discuss whether the invisible parts of the occluded object are represented as if they were visible, contrary to a high-level representation. While plenty of questions on amodal completion remain, this review presents an overview of the neuroimaging findings reported to date, summarizes several insights from computational models, and connects research of other perceptual completion processes such as modal completion. In all, it is suggested that amodal completion is the solution to deal with various types of incomplete retinal information, and highly depends on stimulus complexity and saliency, and therefore also give rise to a variety of observed neural patterns.
机译:模态完成是感知完成的对象的现象,即使它们在物理上被部分遮挡。在这篇综述中,我们提供了对无模式完成的神经相关性的各种神经影像学研究结果的广泛概述。我们讨论了低层和高层皮层区域是否参与了模态完成。概述无模态完成如何随着时间的流逝而分离前馈,循环和反馈过程;并讨论在神经元水平上如何表现无模式完成。诸如V1和V2之类的低级视觉区域的参与程度尚不清楚,而诸如枕骨外侧复合体和梭形面部区域之类的几个高级结构似乎分别对物体和面部的遮挡不变,并且似乎有几个运动区域为对象永久性编码。关于无模态完成时间的各种结果暗示了前馈,循环和反馈过程的混合。我们讨论被遮挡对象的不可见部分是否被表示为好像它们是可见的,这与高级表示相反。尽管仍然存在很多关于无模式完成的问题,但本次综述提供了迄今为止报道的神经影像学发现的概述,总结了来自计算模型的一些见解,并将其他感知完成过程(如模式完成)的研究联系在一起。总之,建议无模式完成是处理各种类型的不完整视网膜信息的解决方案,并且高度依赖于刺激的复杂性和显着性,因此也引起了多种观察到的神经模式。

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