Novel insight into modeling of brain response to flicker light

Razieh Falahian, M. M. Dastjerdi, S. Gharibzadeh
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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.
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对大脑对闪烁光的反应建模的新见解
生物系统的行为建模及其对各种内外刺激的反应在准确感知、分析、控制和预测其行为方面起着至关重要的作用。每一个生物系统都是一个极其复杂的非线性系统。这种特性是系统各组成部分之间以及与环境之间复杂相互作用的结果。最近的研究结果表明,大多数生物系统的行为倾向于混沌模式。我们的研究结果指出,大脑对某些刺激的反应,如闪烁的光,就是这种行为的一个例子。然而,对大脑的这种特殊行为进行真实的建模仍然是必要的。本文给出了利用多层前馈神经网络对这种特殊的大脑混沌响应进行建模的结果。为了评估我们的模型,我们使用了一些视网膜电图数据。所指定的神经网络模拟这种复杂行为的能力确实得到了证实。
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