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
Link To Document :
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