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自然场景线条图和照片之间的表象差异:多体素模式分析与重复抑制的分离。

Representational differences between line drawings and photographs of natural scenes: A dissociation between multi-voxel pattern analysis and repetition suppression.

机构信息

Department of Psychology, Yale University, Box 208205, New Haven, CT 06520-8205, USA.

Department of Psychology, University of Virginia, Charlottesville, VA, USA.

出版信息

Neuropsychologia. 2018 Aug;117:513-519. doi: 10.1016/j.neuropsychologia.2018.06.013. Epub 2018 Jun 21.

Abstract

Distributed representations of scene categories are consistent between color photographs (CPs) and line drawings (LDs) in the parahippocampal place area (PPA) and the retrosplenial cortex (RSC), as shown using multi-voxel pattern analysis (MVPA). Here, we used repetition suppression (RS) to further investigate the degree of representational convergence between CPs and LDs of natural scenes. MVPA and RS can capture different aspects of visual representations, and RS may prove useful in elucidating important differences in the representations of CPs and LDs of natural scenes. We performed an event-related fMRI experiment, including image-repetitions either within-type (i.e., CP to CP or LD to LD) or between-types (CP to LD, LD to CP). We found significant RS for within-type repetitions in PPA, RSC and the occipital place area (OPA), but did not observe RS for between-types repetitions. By contrast, scene categories were decodable from activity patterns evoked by both CPs and LDs using SVM classification for both within-type decoding and between-types cross-decoding. We conclude that there are representational differences between CPs and LDs in scene-selective cortex despite a category-level correspondence.

摘要

使用多体素模式分析 (MVPA) 表明,场景类别在海马旁回位置区域 (PPA) 和后扣带回皮层 (RSC) 的彩色照片 (CP) 和线条图 (LD) 之间具有一致的分布式表示。在这里,我们使用重复抑制 (RS) 来进一步研究自然场景的 CP 和 LD 之间的代表性收敛程度。MVPA 和 RS 可以捕捉视觉表示的不同方面,并且 RS 可能有助于阐明自然场景的 CP 和 LD 表示之间的重要差异。我们进行了一项事件相关 fMRI 实验,包括在同一类型内 (即 CP 到 CP 或 LD 到 LD) 或在不同类型之间 (CP 到 LD,LD 到 CP) 重复图像。我们发现 PPA、RSC 和枕部位置区域 (OPA) 中存在显著的同类型重复抑制,但未观察到不同类型重复抑制。相比之下,使用 SVM 分类,无论是在同类型解码还是不同类型的交叉解码中,CP 和 LD 诱发的活动模式都可以解码出场景类别。我们的结论是,尽管在类别水平上存在对应关系,但在场景选择皮层中 CP 和 LD 之间存在表示差异。

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