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Modulation of early ERPs by accurate categorization of objects in scenes

机译:通过对场景中的对象进行精确分类来调制早期的ERP

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The categorization of objects within natural scenes is carried out in a sequence of stages, which may build on the detection of perceptual regularities in the visual appearance of objects or may represent a more semantic level of categorization. Here, we examined the neural correlates of correct categorization of objects in scenes, using natural scenes which were equalized in color and spectral amplitude, and controlled in terms of spatial coherence. Event-related potentials (ERPs) were used to track the early stages of visual processing. Participants viewed degraded (phase-scrambled) versions of natural scenes and then categorized them as depicting animals or people. At an intermediate scrambling level, a negative-going occipitotemporal ERP modulation by categorization accuracy was observed, beginning approximately 150 ms after stimulus onset; at more degraded levels, no ERP modulation was observed. These results suggest that this early negative-going ERP modulation reflects processing of perceptual evidence which is predictive of later correct categorization, even when low-level differences in color, spectral amplitude, and spatial coherence are balanced or controlled.
机译:在自然场景中对对象进行分类是按照一系列顺序进行的,这些阶段可以建立在检测对象视觉外观的感知规律性之上,或者可以表现出更高的语义层次。在这里,我们使用颜色和光谱幅度均等且受空间连贯性控制的自然场景,检查了场景中对象正确分类的神经相关性。事件相关电位(ERP)用于跟踪视觉处理的早期阶段。参与者查看了自然场景的降级(加扰)版本,然后将其归类为描绘动物或人。在中间加扰水平上,在刺激发生后约150毫秒开始观察到归类准确性的负时枕ERP调制。在更高的降解水平下,未观察到ERP调节。这些结果表明,这种早期的负向ERP调制反映了感知证据的处理,即使在颜色,光谱幅度和空间相干性的低级差异得到平衡或控制的情况下,也可以预测以后的正确分类。

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