Complex bifurcation structures in a Hodgkin-Huxley model of thermally sensitive neurons under periodic perturbation.

IF 2.4 3区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS
Bruno R R Boaretto, Paulo R Protachevicz, Matheus Hansen, Rene O Medrano-T, Elbert E N Macau, Celso Grebogi
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引用次数: 0

Abstract

In this study, we identify an intricate class of periodic behavior, coined as "fishbone," within the chaotic dynamics induced by external periodic disturbances in a neuronal system. Alongside this structure, we observe well-known patterns such as shrimps and cockroaches, revealing the system's sensitivity to external perturbations. Notably, our work highlights the significant impact of altering biophysical parameters, showing that changes in the ionic conductance of neurons can lead to the cohesion or detachment of complex periodic structures from the primary fishbone-shaped structure. This finding underscores the role of ionic channels in shaping neuronal responses, which is relevant given their involvement in various neuronal disorders. Furthermore, our study provides insights into how external perturbations influence neuron signal processing.

周期性扰动下热敏神经元Hodgkin-Huxley模型中的复杂分岔结构。
在这项研究中,我们确定了一类复杂的周期行为,被称为“鱼骨”,在神经元系统中由外部周期性干扰引起的混沌动力学中。除了这种结构,我们还观察到虾和蟑螂等众所周知的模式,揭示了系统对外部扰动的敏感性。值得注意的是,我们的工作强调了改变生物物理参数的重大影响,表明神经元离子电导的变化可以导致复杂周期结构从原始鱼骨状结构中凝聚或分离。这一发现强调了离子通道在形成神经元反应中的作用,这与它们参与各种神经元疾病有关。此外,我们的研究提供了外部扰动如何影响神经元信号处理的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical Review E
Physical Review E PHYSICS, FLUIDS & PLASMASPHYSICS, MATHEMAT-PHYSICS, MATHEMATICAL
CiteScore
4.50
自引率
16.70%
发文量
2110
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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