The time course of symmetry effect on shape perception: An event-related potential study

Meng Wang, Qiong Wu, Fengxia Wu, Jiajia Yang, Satoshi Takahashi, Yoshimichi Ejima, Jinglong Wu

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

Abstract

Although symmetry is known to be an important determinant of visual processing and an appreciation of visual symmetry has been studied in several electroencephalography (EEG) experiments, it remains not well clear the mechanism of visual symmetry processing. To investigate this, we measured the processing of symmetrical stimulus (diagonal) and asymmetrical stimulus (control) with two levels of intensity by measured visual evoked potential (VEP). Our results showed significant difference in P8, P4 and O2, the right hemisphere for symmetry processing. In addition, the activity of visual related cortex for diagonal was weaker than that for control during the period of (160-190 ms), whereas the relationship was inverse during the period of (220-280 ms) in all intensity. This work provides a new account of neural mechanisms involved in visual symmetry perception.

Original languageEnglish
Title of host publicationProceedings of 2018 IEEE International Conference on Mechatronics and Automation, ICMA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages210-214
Number of pages5
ISBN (Electronic)9781538660720
DOIs
Publication statusPublished - Oct 5 2018
Event15th IEEE International Conference on Mechatronics and Automation, ICMA 2018 - Changchun, China
Duration: Aug 5 2018Aug 8 2018

Publication series

NameProceedings of 2018 IEEE International Conference on Mechatronics and Automation, ICMA 2018

Other

Other15th IEEE International Conference on Mechatronics and Automation, ICMA 2018
Country/TerritoryChina
CityChangchun
Period8/5/188/8/18

Keywords

  • Right hemisphere
  • Symmetry processing
  • Visual evoked potential

ASJC Scopus subject areas

  • Biomedical Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

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