{"title":"Novel insight into modeling of brain response to flicker light","authors":"Razieh Falahian, M. M. Dastjerdi, S. Gharibzadeh","doi":"10.1109/ICBME.2014.7043899","DOIUrl":null,"url":null,"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.","PeriodicalId":434822,"journal":{"name":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 21th Iranian Conference on Biomedical Engineering (ICBME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBME.2014.7043899","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.