Coding of navigational affordances in the human visual system

Coding of navigational affordances in the human visual system
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DOI:
10.1073/pnas.1618228114
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发表时间:
2017-05-02
影响因子:
11.1
通讯作者:
Epstein, Russell A.
Epstein, Russell A.
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Bonner, Michael F.;Epstein, Russell A.

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空间导航的一个核心组成部分是确定人们在周围环境中可以去哪里和不能去哪里。我们使用功能磁共振成像来测试人类视觉系统通过自动识别局部场景的导航可供性来解决这个问题的假设。多体素模式分析表明,背侧枕顶叶皮质的场景选择区域(称为枕叶区域)代表场景中运动的路径,其方式能够容忍其他视觉特征的变化。这些效果是在两个实验中发现的:一个使用严格控制的人工环境作为刺激,另一个使用一组不同的复杂自然场景。重建分析表明,枕骨区域的人口代码可用于预测新场景的可供性。总而言之,这些结果揭示了一种以前未知的感知可导航空间可供性结构的机制。
A central component of spatial navigation is determining where one can and cannot go in the immediate environment. We used fMRI to test the hypothesis that the human visual system solves this problem by automatically identifying the navigational affordances of the local scene. Multivoxel pattern analyses showed that a scene-selective region of dorsal occipitoparietal cortex, known as the occipital place area, represents pathways for movement in scenes in a manner that is tolerant to variability in other visual features. These effects were found in two experiments: One using tightly controlled artificial environments as stimuli, the other using a diverse set of complex, natural scenes. A reconstruction analysis demonstrated that the population codes of the occipital place area could be used to predict the affordances of novel scenes. Taken together, these results reveal a previously unknown mechanism for perceiving the affordance structure of navigable space.