Neural representation of scene boundaries.
Neural representation of scene boundaries.
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DOI：
10.1016/j.neuropsychologia.2016.05.012
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发表时间：
2016-08
期刊：
影响因子：
2.6
通讯作者：
Park S
中科院分区：
文献类型：
--
作者：
Ferrara K;Park S
三维环境边界从根本上定义了给定空间的界限。一个采用各种方法的研究机构指出它们作为导航线索的重要性。然而，鲜为人知的是，在人类大脑中的高层次场景皮层（即，海马旁位置区（PPA）和压后皮层（RSC））的场景边界的表示的性质。在这里，我们使用单变量和多像素模式分析，研究分类性能的人工场景图像的垂直边界结构的程度不同（一个平面的2D边界，一个非常轻微的添加3D边界，或完整的墙壁）。我们的研究结果提供的证据表明，有不同的神经组件代表两个不同方面的边界：1）急性敏感性接地三维垂直结构的存在，由PPA表示，和2）边界是否引入了显着的障碍，观众的潜在导航内的空间，由RSC表示。
Three-dimensional environmental boundaries fundamentally define the limits of a given space. A body of research employing a variety of methods points to their importance as cues in navigation. However, little is known about the nature of the representation of scene boundaries by high-level scene cortices in the human brain (namely, the parahippocampal place area (PPA) and retrosplenial cortex (RSC)). Here we use univariate and multivoxel pattern analysis to study classification performance for artificial scene images that vary in degree of vertical boundary structure (a flat 2D boundary, a very slight addition of 3D boundary, or full walls). Our findings present evidence that there are distinct neural components for representing two different aspects of boundaries: 1) acute sensitivity to the presence of grounded 3D vertical structure, represented by the PPA, and 2) whether a boundary introduces a significant impediment to the viewer’s potential navigation within a space, represented by RSC.