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引用次数: 0
摘要
混沌在神经科学的数学模型中无处不在。在实验神经系统中,混沌在膜、神经元和小型网络中得到了令人信服的证明。然而,混沌对大脑的影响一直存在争议。在这项研究中,我们使用基于三维图谱的膜电位模型--逻辑 KTz--来研究单个和耦合神经元中的混沌。我们首先利用尖峰间期(ISI)获得了该模型的另一种相图,证明了 KTz 模型原始图中缺少的慢尖峰(SS)区域。在 SS 阶段内发现了一个巨大的混沌区域。在混沌中嵌入了几个自相似周期性结构,如虾形域和其他结构。通过对该图中神经元行为的采样,我们发现了一种新型动作电位--神经元早期后去极化(nEAD)。EAD 是动作电位过程中的病理性振荡,常见于心脏细胞,被认为是混乱的,是导致心脏心律失常的原因。我们研究了两个具有这种行为的化学耦合神经元。我们在它们的相互作用中识别并描述了瞬态混沌。该系统的相图呈现出一种新型的自相似周期性结构,这种结构看起来像被 "切碎 "的碎片。
Transient chaos and periodic structures in a model of neuronal early afterdepolarization.
The presence of chaos is ubiquitous in mathematical models of neuroscience. In experimental neural systems, chaos was convincingly demonstrated in membranes, neurons, and small networks. However, its effects on the brain have long been debated. In this work, we use a three-dimensional map-based membrane potential model, the logistic KTz, to study chaos in single and coupled neurons. We first obtain an alternative phase diagram for the model using the interspike interval (ISI), evidencing a region of slow spikes (SS), missing from the original diagram of the KTz model. A large chaotic region is found inside the SS phase. Embedded in chaos are several self-similar periodic structures, such as shrimp-shaped domains and other structures. Sampling the behavior of neurons in this diagram, we detect a novel type of action potential, the neuronal early afterdepolarization (nEAD). EADs are pathological oscillations during the action potential, commonly found in cardiac cells and believed to be chaotic and responsible for generating arrhythmias in the heart. nEAD was found experimentally in neurons in a type of epilepsy. We study two chemically coupled neurons with this behavior. We identify and characterize transient chaos in their interaction. A phase diagram for this system presents a novel type of self-similar periodic structures, where the structures appear "chopped" in pieces.
期刊介绍:
Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.