• DocumentCode
    508348
  • Title

    The Application of Non-linear Regression Method to the Functional Connectivity during the Encoding and the Retrieval of Chinese Semantic Memory

  • Author

    Ge, Manling ; Dong, Guoya ; Wang, Tingting ; Yang, Li ; Pang, XueLian ; Wang, Lei

  • Author_Institution
    Province-Minist. Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin, China
  • Volume
    1
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    423
  • Lastpage
    427
  • Abstract
    Here, the tests about the study of Chinese semantic are presented. The experiments are performed on 9 healthy university students by using the scalp EEG and by using the pictures of Chinese words and idioms as stimuli. The mapping of the power density spectrums are adopted to detect the cognition-related region in the working memory including the memory and the retrieval. The non-linear regression method is available to investigate the interactions in these brain areas and the statistical measurement, ANOVA is utilized to get the significance of interdependencies differences between the working memory and before memory. It is concluded that not only the power density spectrums of gamma oscillations are significantly strengthened, but also the interdependencies in the prefrontal brain region are increased during these memory tasks on all subjects. It is indicated that it is possible to exist the strong feature modulations of attention in the local brain regions during the short-time memory of Chinese semantics.
  • Keywords
    cognition; natural languages; neural nets; regression analysis; ANOVA; Chinese semantic memory retrieval; cognition-related region; encoding; functional connectivity; gamma oscillation; nonlinear regression method; power density spectrum; statistical measurement; Brain modeling; Cognition; Coherence; Computer applications; Electroencephalography; Electromagnetic fields; Encoding; Epilepsy; Frequency; Natural languages; EEG; Memory of Chinese Language; Non-linear regression method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.315
  • Filename
    5366877