Butera Robert J.
Mathematical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, 9190 Wisconsin Avenue, Suite 350, Bethesda, Maryland 20814.
Chaos. 1998 Mar;8(1):274-284. doi: 10.1063/1.166358.
A complex modeled bursting neuron [C. C. Canavier, J. W. Clark, and J. H. Byrne, J. Neurophysiol. 66, 2107-2124 (1991)] has been shown to possess seven coexisting limit cycle solutions at a given parameter set [Canavier et al., J. Neurophysiol 69, 2252-2259 (1993); 72, 872-882 (1994)]. These solutions are unique in that the limit cycles are concentric in the space of the slow variables. We examine the origin of these solutions using a minimal 4-variable bursting cell model. Poincare maps are constructed using a saddle-node bifurcation of a fast subsystem such as our Poincare section. This bifurcation defines a threshold between the active and silent phases of the burst cycle in the space of the slow variables. The maps identify parameter spaces with single limit cycles, multiple limit cycles, and two types of chaotic bursting. To investigate the dynamical features which underlie the unique shape of the maps, the maps are further decomposed into two submaps which describe the solution trajectories during the active and silent phases of a single burst. From these findings we postulate several necessary criteria for a bursting model to possess multiple stable concentric limit cycles. These criteria are demonstrated in a generalized 3-variable model. Finally, using a less direct numerical procedure, similar return maps are calculated for the original complex model [C. C. Canavier, J. W. Clark, and J. H. Byrne, J. Neurophysiol. 66, 2107-2124 (1991)], with the resulting mappings appearing qualitatively similar to those of our 4-variable model. These multistable concentric bursting solutions cannot occur in a bursting model with one slow variable. This type of multistability arises when a bursting system has two or more slow variables and is viewed as an essentially second-order system which receives discrete perturbations in a state-dependent manner. (c) 1998 American Institute of Physics.
一个复杂的模拟爆发神经元[C. C. 卡纳维尔、J. W. 克拉克和J. H. 伯恩,《神经生理学杂志》66, 2107 - 2124 (1991)]已被证明在给定参数集下具有七个共存的极限环解[卡纳维尔等人,《神经生理学杂志》69, 2252 - 2259 (1993); 72, 872 - 882 (1994)]。这些解的独特之处在于,极限环在慢变量空间中是同心的。我们使用一个最小的四变量爆发细胞模型来研究这些解的起源。通过快速子系统的鞍结分岔(如我们的庞加莱截面)构建庞加莱映射。这种分岔在慢变量空间中定义了爆发周期的活跃期和静止期之间的阈值。这些映射识别出具有单个极限环、多个极限环以及两种混沌爆发类型的参数空间。为了研究构成映射独特形状的动力学特征,将映射进一步分解为两个子映射,它们描述单个爆发的活跃期和静止期的解轨迹。基于这些发现,我们提出了爆发模型拥有多个稳定同心极限环的几个必要标准。这些标准在一个广义的三变量模型中得到了证明。最后,使用一种不太直接的数值方法,为原始的复杂模型[C. C. 卡纳维尔、J. W. 克拉克和J. H. 伯恩,《神经生理学杂志》66, 2107 - 2124 (1991)]计算了类似的返回映射,所得映射在定性上与我们的四变量模型相似。这些多稳态同心爆发解不会出现在具有一个慢变量的爆发模型中。当爆发系统有两个或更多慢变量并被视为一个本质上的二阶系统,该系统以状态依赖的方式接收离散扰动时,就会出现这种多稳定性类型。(c) 1998美国物理研究所。