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客体选择性视觉皮层参与场景类别判断的证据。

Evidence for participation by object-selective visual cortex in scene category judgments.

作者信息

Linsley Drew, MacEvoy Sean P

机构信息

Department of Psychology, Boston College, Chestnut Hill, MA, USA.

出版信息

J Vis. 2014 Aug 21;14(9):19. doi: 10.1167/14.9.19.

Abstract

Scene recognition is a core function of the visual system, drawing both on scenes' intrinsic global features, prominently their spatial properties, and on the identities of the objects scenes contain. Neuroimaging and neuropsychological studies have associated spatial property-based scene categorization with parahippocampal cortex, while processing of scene-relevant object information is associated with the lateral occipital complex (LOC), wherein activity patterns distinguish between categories of standalone objects and those embedded in scenes. However, despite the importance of objects to scene categorization and the role of LOC in processing them, damage or disruption to LOC that hampers object recognition has been shown to improve scene categorization. To address this paradox, we used functional magnetic resonance imaging (fMRI) to directly assess the contributions of LOC and the parahippocampal place area (PPA) to category judgments of indoor scenes that were devoid of objective identity signals. Observers were alternately cued to base judgments on scenes' objects or spatial properties. In both LOC and PPA, multivoxel activity patterns better decoded judgments based on their typically associated features: LOC more accurately decoded object-based judgments, while PPA more accurately decoded spatial property-based judgments. The cue contingency of LOC decoding accuracy indicates that it was not an outcome of feedback from judgments and is instead consistent with dependency of judgments on the output of object processing pathways in which LOC participates.

摘要

场景识别是视觉系统的核心功能,它既依赖于场景的内在全局特征,尤其是其空间属性,也依赖于场景中所包含物体的识别。神经影像学和神经心理学研究表明,基于空间属性的场景分类与海马旁回皮质有关,而与场景相关的物体信息处理则与枕外侧复合体(LOC)有关,在枕外侧复合体中,活动模式能够区分独立物体的类别和嵌入场景中的物体类别。然而,尽管物体对场景分类很重要,且枕外侧复合体在处理物体方面发挥着作用,但研究表明,损害或破坏枕外侧复合体从而妨碍物体识别,却能改善场景分类。为了解决这一矛盾,我们使用功能磁共振成像(fMRI)直接评估枕外侧复合体和海马旁回位置区(PPA)对没有客观识别信号的室内场景类别判断的贡献。观察者被交替提示根据场景中的物体或空间属性进行判断。在枕外侧复合体和海马旁回位置区中,多体素活动模式根据其通常相关的特征能更好地解码判断:枕外侧复合体更准确地解码基于物体的判断,而海马旁回位置区更准确地解码基于空间属性的判断。枕外侧复合体解码准确性的提示偶然性表明,这不是判断反馈的结果,而是与判断依赖于枕外侧复合体所参与的物体处理通路的输出一致。

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