Abstract: Studies on how chaos theory may be applied to neural disorders is a very challenging theoretical problem. But, to determine the applications of chaos theory cellular functions, it is best to study the genesis of chaos and its characteristics using a minimal model of cellular excitability. In this paper we present two neuronal models which gives rise to interesting types of bursting and chaos. The first model is based on the model of Chay, in which the bursting of neuronal cells is caused by voltage- and time-dependent inactivation of calcium channels. The second model is based on Chay's work in which the bursting is caused by the conformational transformation of the calcium channels that is induced by binding of Ca$+2$PLU$/ ion to the receptor site. With these two models, we elucidate how the periodic states and chaos can be evolved when the properties of two types of inward current change. Our bifurcation diagram reveals new types of bifurcations and chaos which were not seen in the other non-linear dynamic models. The predicted chaos from the models closely resembles that observed experimentally in neuronal cells. An implication of our finding is that chaos theory may be used to understand and improve the treatment of certain irregular activities in the brain.!23
展开▼
机译:摘要:关于如何将混沌理论应用于神经疾病的研究是一个非常具有挑战性的理论问题。但是,要确定混沌理论细胞功能的应用,最好使用最小的细胞兴奋性模型研究混沌的起源及其特征。在本文中,我们介绍了两种神经元模型,它们引起了有趣的爆发和混沌类型。第一个模型基于Chay模型,其中神经元细胞的爆发是由钙通道的电压和时间依赖性失活引起的。第二个模型基于Chay的工作,其中爆裂是由Ca + 2 $ PLU $ /离子与受体位点的结合引起的钙通道的构象转化引起的。通过这两个模型,我们阐明了当两种类型的内向电流的特性发生变化时,如何演化出周期性状态和混沌。我们的分叉图揭示了其他非线性动力学模型中未发现的新型分叉和混乱。从模型中预测的混乱非常类似于在神经元细胞中实验观察到的混乱。我们发现的一个暗示是,可以使用混沌理论来理解和改善对大脑某些不规则活动的治疗。23
展开▼