• DocumentCode
    3562916
  • Title

    Novel insight into modeling of brain response to flicker light

  • Author

    Falahian, Razieh ; Dastjerdi, Maryam Mehdizadeh ; Gharibzadeh, Shahriar

  • Author_Institution
    Dept. of Biomedicai Eng., Amirkabir Univ. of Technol. (AUT), Tehran, Iran
  • fYear
    2014
  • Firstpage
    86
  • Lastpage
    91
  • Abstract
    The Modeling of the behavior of biological systems, together with their responses to various internal and external stimuli plays a paramount role in accurate perception, analysis, control and prediction of their behaviors. Every Biological system is an extremely complex nonlinear system. This characteristic is the consequence of the complicated interactions within various components of the system as well as with its environment. The outcomes of recent investigations have indicated that the majority of biological systems tend to behave in chaotic patterns. The result of our study points out that the response of the brain to some stimuli such as the flicker light is an exemplar of such demeanor. The requisite remains, however, for realistic modeling of this specific behavior of the brain. In this paper, we represent the results of modeling this special chaotic response of the brain by utilizing multilayer feed-forward neural network. In pursuance of evaluating our model, we employ some electroretinogram data. The capability of the specified neural network to model this complex behavior is indeed confirmed.
  • Keywords
    brain; chaos; electroretinography; medical computing; neural nets; neurophysiology; nonlinear systems; psychology; visual perception; accurate behavior perception; behavior analysis; behavior control; behavior prediction; biological system behavior modeling; brain behavior modeling; brain response modeling; chaotic behavior pattern; chaotic brain response; complex nonlinear system; electroretinogram data; external stimuli; flicker light brain response; internal stimuli; multilayer feed-forward neural network; Bifurcation; Biological neural networks; Biomedical engineering; Brain models; Neurons; Retina; artificial neural network; brain response; chaos; electroretinogram; flicker light; modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering (ICBME), 2014 21th Iranian Conference on
  • Print_ISBN
    978-1-4799-7417-7
  • Type

    conf

  • DOI
    10.1109/ICBME.2014.7043899
  • Filename
    7043899