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Visual Object Categorization from Whole to Fine: Evidence from ERP

机译:从整体到精细的视觉对象分类:来自ERP的证据

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The phenomenons of basic-level advantage and its reversal to the superordinate level during visual object categorization suggest the flexible and widely automatic semantic activation in human being, which would permit the actions to be consistent with goals and environment. However the under mechanism and the neural relation of visual object categorization is still not clear. By using the technique of ERP (Event-related Potential), with a word-picture matching task, we observed a superordinate-level advantage both in the behavioral reaction time (RT). The ERP activities showed that for the condition of supeordinate-level condition, there was a shortest peak latency in the early visual atten-tional ERP component of P2; then in the middle semantic processing component of N400, there was a strongest amplitude; and finally there was a weakest amplitude in the component of late waveform in the late response period. These results suggest that there would be a processing from whole to fine during visual object categorization.
机译:在视觉对象分类过程中,基本级优势及其逆向上级的现象表明,人类可以灵活,广泛地自动进行语义激活,这将使行为与目标和环境保持一致。然而,视觉对象分类的不足机理和神经关系仍然不清楚。通过使用ERP(事件相关电位)技术,通过单词图像匹配任务,我们在行为反应时间(RT)方面都观察到了上级优势。 ERP活动表明,对于上级情况,P2的早期视觉注意性ERP组件中的峰潜伏期最短。然后在N400的中间语义处理组件中,幅度最大。最后,在响应后期,后期波形分量的振幅最弱。这些结果表明,在视觉对象分类过程中将进行从整体到精细的处理。

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