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Artificially-generated scenes demonstrate the importance of global scene properties for scene perception

机译：人工生成的场景展示了全球场景属性对场景感知的重要性

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Recent electrophysiological research highlights the significance of global scene properties (GSPs) for scene perception. However, since real-world scenes span a range of low-level stimulus properties and high-level contextual semantics, GSP effects may also reflect additional processing of such non-global factors. We examined this question by asking whether Event-Related Potentials (ERPs) to GSPs will still be observed when specific low- and high-level scene properties are absent from the scene. We presented participants with computer-based artificially-manipulated scenes varying in two GSPs (spatial expanse and naturalness) which minimized other sources of scene information (color and semantic object detail). We found that the peak amplitude of the P2 component was sensitive to the spatial expanse and naturalness of the artificially-generated scenes: P2 amplitude was higher to closed than open scenes, and in response to manmade than natural scenes. A control experiment showed that the effect of Naturalness on the P2 is not driven by local texture information, while earlier effects of naturalness, expressed as a modulation of the P1 and N1 amplitudes, are sensitive to texture information. Our results demonstrate that GSPs are processed robustly around 220 ms and that P2 can be used as an index of global scene perception.
机译：最近的电生理学研究突出了全球场景属性（GSP）对现场感知的重要性。然而，由于现实世界场景跨越一系列低级刺激特性和高级上下文语义，因此GSP效果也可能反映了这种非全局因素的额外处理。当场景中不存在特定的低和高级场景属性时，仍然会观察到对GSP的事件相关的电位（ERP）是否仍然会观察到这个问题。我们向参与者提供了基于计算机的人工操作场景，其两个GSP（空间扩展和自然）在最小化其他场景信息（颜色和语义对象细节）中。我们发现，P2分量的峰值幅度对人工产生的场景的空间扩展和自然度敏感：P2幅度高于开场景，并且响应于人类而不是自然场景。对照实验表明，P2上的自然作用不是通过局部纹理信息的驱动，而自然的效果表达为P1和N1幅度的调节，对纹理信息敏感。我们的结果表明，GSP稳健地处理约220毫秒，并且P2可以用作全球场景感知的指标。

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