Best Janet, Diniz Behn Cecilia, Poe Gina R, Booth Victoria
Department of Mathematics and Mathematical Biosciences Institute, Ohio State University, Columbus, OH, USA.
J Biol Rhythms. 2007 Jun;22(3):220-32. doi: 10.1177/0748730407301239.
In this article, we discuss mathematical models that address the control of sleep-wake behavior in the infant and adult rodent and a model that addresses changes in single-cell firing patterns in the hippocampus across wake and rapid eye movement (REM) sleep states. Each of the models describes the dynamics of experimentally identified neuronal components--either the firing activity of wake-and sleep-promoting neuronal populations or the spiking activity of hippocampal pyramidal neurons. Our discussion of each model illustrates how a mathematical model that describes the temporal dynamics of the modeled neuronal components can reveal specifics about proposed neuronal mechanisms that underlie sleep-wake regulation or sleep-specific firing patterns. For example, the dynamics of the models developed for sleep-wake regulation in the infant rodent lend insight into the involved brain-stem neuronal populations and the evolution of the network during maturation. The results of the model for sleep-wake regulation in the adult rodent suggest distinct properties of the involved neuronal populations and their interactions that account for long-lasting and brief waking bouts. The dynamics of the model for sleep-specific hippocampal neural activity proposes neural mechanisms to account for observed activity changes that can invoke synaptic reorganization associated with learning and memory consolidation.
在本文中,我们讨论了用于解决幼鼠和成年啮齿动物睡眠-觉醒行为控制的数学模型,以及一个用于解决海马体在清醒和快速眼动(REM)睡眠状态下单细胞放电模式变化的模型。每个模型都描述了通过实验确定的神经元成分的动态——促进清醒和睡眠的神经元群体的放电活动或海马体锥体神经元的尖峰活动。我们对每个模型的讨论说明了一个描述建模神经元成分时间动态的数学模型如何能够揭示关于睡眠-觉醒调节或特定睡眠放电模式背后的神经元机制的细节。例如,为幼鼠睡眠-觉醒调节开发的模型的动态有助于深入了解所涉及的脑干神经元群体以及成熟过程中网络的演变。成年啮齿动物睡眠-觉醒调节模型的结果表明,所涉及的神经元群体具有不同的特性及其相互作用,这些特性和相互作用解释了持久和短暂的清醒发作。特定睡眠海马神经活动模型的动态提出了神经机制,以解释观察到的活动变化,这些变化可能引发与学习和记忆巩固相关的突触重组。