Neural cognitions of perceiving Chinese characters: Phonological versus logographical effects

Shu Y. Lyu, Wun Tsong Chaou, Hao Y. Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The study is aimed to study phonological versus logographical effects in neural cognitions when perceiving Chinese characters. The paradigm has a series of figural animal, ancient pictographic Chinese character, modern Chinese character, and mandarin-based syllables. Participants are grouped by two levels of word recognition skills, the mastered-group and the learner-group. The current study used Electrical Geodesics (EGI) system with dense array geodesic sensor nets to record digitalized electroencephalogram and event-related potentials. Results show that behavioral and neural cognitive reactions to the designed characters indeed have varied phonological and logographical effects on cortical regions. Conclusions and inferences can benefit developments of cognitive science.

Original languageEnglish
Title of host publicationRecent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases - 10th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, AIKED'11
Pages95-97
Number of pages3
Publication statusPublished - 2011
Event10th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, AIKED'11 - Cambridge, United Kingdom
Duration: Feb 20 2011Feb 22 2011

Other

Other10th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, AIKED'11
CountryUnited Kingdom
CityCambridge
Period2/20/112/22/11

Keywords

  • Chinese characters
  • Logographical effect
  • Neural cognition
  • Phonological effect

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems

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  • Cite this

    Lyu, S. Y., Chaou, W. T., & Yang, H. Y. (2011). Neural cognitions of perceiving Chinese characters: Phonological versus logographical effects. In Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases - 10th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, AIKED'11 (pp. 95-97)