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The Role of Posterior Parietal Cortex in Problem Representation

机译:后顶叶皮层在问题表征中的作用

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摘要

Problem representation is one of the key factors in problem solving. According to previous studies, PPC (Posterior Parietal Cortex) is critical for problem representation. Whether does problem expression form affect problem representation? What are the cognitive role of PPC in representation? In order to answer these questions, a fMRI experiment was performed in this study to examine the role of PPC in problem solving. It was a 2 x 2 designed experiment with two 2-level factors: task complexity (one-step and two-steps) and expression form (digits and symbols). In a digital task, 4 digits are provided in the initial grids, while 4 symbols of poker are provided in a symbolic task. In a task of one-step, participants only need one time rules retrieving to get the target answer, while in a task of two-steps, participants need two times rules retrieving to get the answer of target after getting the answer of a bridging location. The results of fMRI show that PPC activated significantly. The further analysis shows that there is a positive correlation between the activation intensity of PPC and task complexity, but the correlation between the activation intensity of PPC and task expression is not significant. According these results, we infer that PPC plays an important role in problem representation, maybe this representation is a high level abstraction.
机译:问题表示是解决问题的关键因素之一。根据以前的研究,PPC(后顶叶皮层)对于问题表示至关重要。问题表达形式是否影响问题表示? PPC在表征中的认知作用是什么?为了回答这些问题,在这项研究中进行了功能磁共振成像实验,以检查PPC在解决问题中的作用。这是一个2 x 2设计的实验,具有两个2级因素:任务复杂性(一步和两步)和表达形式(数字和符号)。在数字任务中,初始网格中提供4位数字,而在符号任务中提供4个扑克符号。一个步骤的任务,参与者只需要检索一次规则即可获得目标答案,而在两个步骤的任务中,参与者只需获得两次规则即可获得目标位置的答案,即可获得目标答案。 。 fMRI的结果表明PPC明显激活。进一步的分析表明,PPC的激活强度与任务复杂度之间存在正相关关系,但PPC的激活强度与任务表达之间的相关关系不显着。根据这些结果,我们推断PPC在问题表示中起着重要作用,也许这种表示是高级抽象。

著录项

  • 来源
    《Brain informatics》|2010年|p.417-426|共10页
  • 会议地点 Toronto(CA);Toronto(CA)
  • 作者单位

    The International WIC Institute, Beijing University of Technology, China,College of Computer and Software, Taiyuan University of Technology, China;

    The International WIC Institute, Beijing University of Technology, China,Dept of Psychology, Carnegie Mellon University, USA;

    College of Computer and Software, Taiyuan University of Technology, China;

    The International WIC Institute, Beijing University of Technology, China;

    Dept of Radiology, Xuanwu Hospital Capital University of Medical Sciences, China;

    The International WIC Institute, Beijing University of Technology, China,Dept of Life Science and Informatics, Maebashi Institute of Technology, Japan;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;
  • 关键词

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