静脉冲双稳性的几何特性。

IF 2.3 4区 医学 Q1 Neuroscience
Giuseppe Ilario Cirillo, Rodolphe Sepulchre
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引用次数: 3

摘要

Morris-Lecar模型可以说是最简单的动力学模型,它既保留了可兴奋相肖像的慢速几何形状,又保留了基于电导的模型的生理学解释。我们用一个缓慢的内向电流来增强这个模型,以捕获在一个输入电流范围内的静息状态和峰值极限环之间的双稳态的附加特性。由此产生的动力系统是许多动力学现象的核心结构,如慢尖峰和爆破。我们展示了所提出的模型如何结合生理解释和数学可追溯性,并讨论了相对于文献中其他模型所提出的方法的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The geometry of rest-spike bistability.

The geometry of rest-spike bistability.

The geometry of rest-spike bistability.

The geometry of rest-spike bistability.

Morris-Lecar model is arguably the simplest dynamical model that retains both the slow-fast geometry of excitable phase portraits and the physiological interpretation of a conductance-based model. We augment this model with one slow inward current to capture the additional property of bistability between a resting state and a spiking limit cycle for a range of input current. The resulting dynamical system is a core structure for many dynamical phenomena such as slow spiking and bursting. We show how the proposed model combines physiological interpretation and mathematical tractability and we discuss the benefits of the proposed approach with respect to alternative models in the literature.

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来源期刊
Journal of Mathematical Neuroscience
Journal of Mathematical Neuroscience Neuroscience-Neuroscience (miscellaneous)
自引率
0.00%
发文量
0
审稿时长
13 weeks
期刊介绍: The Journal of Mathematical Neuroscience (JMN) publishes research articles on the mathematical modeling and analysis of all areas of neuroscience, i.e., the study of the nervous system and its dysfunctions. The focus is on using mathematics as the primary tool for elucidating the fundamental mechanisms responsible for experimentally observed behaviours in neuroscience at all relevant scales, from the molecular world to that of cognition. The aim is to publish work that uses advanced mathematical techniques to illuminate these questions. It publishes full length original papers, rapid communications and review articles. Papers that combine theoretical results supported by convincing numerical experiments are especially encouraged. Papers that introduce and help develop those new pieces of mathematical theory which are likely to be relevant to future studies of the nervous system in general and the human brain in particular are also welcome.
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