Disentangling Scene Content from Spatial Boundary: Complementary Roles for the Parahippocampal Place Area and Lateral Occipital Complex in Representing Real-World Scenes
Disentangling Scene Content from Spatial Boundary: Complementary Roles for the Parahippocampal Place Area and Lateral Occipital Complex in Representing Real-World Scenes
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DOI：
10.1523/jneurosci.3885-10.2011
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发表时间：
2011-01-26
影响因子：
5.3
通讯作者：
Oliva, Aude
中科院分区：
文献类型：
--
作者：
Park, Soojin;Brady, Timothy F.;Oliva, Aude
行为和计算研究表明，视觉场景分析可以快速生成场景中对象和表面空间布局的丰富描述。然而，我们对人脑如何完成场景理解的这些不同功能的理解仍然存在很大差距。在这里，我们使用多体素功能磁共振成像模式分析来探讨现实世界场景表示的本质。我们表明，自然场景是通过海马旁区域（PPA）和枕外侧复合体（LOC）以及腹侧流中的其他区域以分布式和互补的方式进行分析的。具体来说，我们使用空间边界和自然度内容不同的图像来研究不同场景选择区域的分类性能。我们发现，虽然 PPA 和 LOC 都可以准确地对场景进行分类，但它们会犯不同的错误：PPA 更经常混淆具有相同空间边界的场景，而 LOC 更经常混淆具有相同内容的场景。通过证明视觉场景分析招募了独特且互补的高级表示，我们的结果证明了表示视觉场景的空间边界和内容的不同神经通路。
Behavioral and computational studies suggest that visual scene analysis rapidly produces a rich description of both the objects and the spatial layout of surfaces in a scene. However, there is still a large gap in our understanding of how the human brain accomplishes these diverse functions of scene understanding. Here we probe the nature of real-world scene representations using multivoxel functional magnetic resonance imaging pattern analysis. We show that natural scenes are analyzed in a distributed and complementary manner by the parahippocampal place area (PPA) and the lateral occipital complex (LOC) in particular, as well as other regions in the ventral stream. Specifically, we study the classification performance of different scene-selective regions using images that vary in spatial boundary and naturalness content. We discover that, whereas both the PPA and LOC can accurately classify scenes, they make different errors: the PPA more often confuses scenes that have the same spatial boundaries, whereas the LOC more often confuses scenes that have the same content. By demonstrating that visual scene analysis recruits distinct and complementary high-level representations, our results testify to distinct neural pathways for representing the spatial boundaries and content of a visual scene.