Synchronization transition in networks of Fractional-Order memristive Hindmarsh-Rose neurons

IF 1.9 4区 数学 Q2 BIOLOGY
Sheida Ansarinasab , Fahimeh Nazarimehr , Farnaz Ghassemi , Sajad Jafari
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引用次数: 0

Abstract

Fractional-order neurons, which model memory effects in neural systems, are increasingly recognized for their importance in understanding complex neuronal dynamics. Despite extensive research on synchronization in networks of fractional-order neurons, the transition to synchronization in these networks, especially under electromagnetic radiation’s impact on neuron membranes, has been largely overlooked. This study addresses this gap by investigating synchronization transitions in small-world and scale-free networks composed of fractional-order and integer-order memristive Hindmarsh-Rose neurons. The results reveal that fractional-order neurons synchronize at smaller coupling strengths than integer-order neurons and exhibit more abrupt synchronization transitions, particularly in scale-free networks with dense connections. These findings underscore the critical role of memory effects and network topology in the emergence of synchronization behavior in neuronal networks.
分数阶记忆Hindmarsh-Rose神经元网络的同步转换。
分数阶神经元在神经系统中模拟记忆效应,在理解复杂的神经元动力学方面的重要性日益得到认可。尽管对分数阶神经元网络的同步进行了广泛的研究,但这些网络向同步的转变,特别是在电磁辐射对神经元膜的影响下,在很大程度上被忽视了。本研究通过研究分数阶和整数阶记忆Hindmarsh-Rose神经元组成的小世界和无标度网络的同步转换来解决这一空白。结果表明,分数阶神经元的同步耦合强度比整数阶神经元小,并且在具有密集连接的无标度网络中表现出更突然的同步转变。这些发现强调了记忆效应和网络拓扑在神经元网络同步行为出现中的关键作用。
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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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