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The Role of Posterior Parietal Cortex in Problem Representation

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Book cover Brain Informatics (BI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6334))

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Abstract

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 × 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.

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Xiang, J., Qin, Y., Chen, J., Zhou, H., Li, K., Zhong, N. (2010). The Role of Posterior Parietal Cortex in Problem Representation. In: Yao, Y., Sun, R., Poggio, T., Liu, J., Zhong, N., Huang, J. (eds) Brain Informatics. BI 2010. Lecture Notes in Computer Science(), vol 6334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15314-3_40

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  • DOI: https://doi.org/10.1007/978-3-642-15314-3_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15313-6

  • Online ISBN: 978-3-642-15314-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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