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
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