Study of reduced Chialvo map with electromagnetic flux: Dynamics and network behavior

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED
Ajay Kumar, V.V.M.S. Chandramouli
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引用次数: 0

Abstract

We introduce a novel two-dimensional discrete neuron map, which is obtained by adding an electromagnetic flux on a reduced Chialvo map and study various dynamical aspects of the proposed map. We discuss the stability of fixed points, bistability, different bifurcations, S-shape chaotic attractors, and firing patterns. In our exploration, the bistability phenomena showcase the coexistence of different periodic attractors along with the basin of attraction region. We observe that the system undergoes chaotic behavior via period-doubling and reverse period-doubling and also illustrate the behavior of the chaotic bubbles. Further, we explore the numerical continuation of bifurcation for codimension-one and codimension-two of the map. The evolution of chaotic attractor through various states and its associated correlation dimension shows the intricate structure and complexity of the map. Additionally, we extend the dynamical study to the network of neurons, specifically focusing on the ring-star network. This broader investigation shows different dynamic states in the network, like synchronized, unsynchronized, and chimera states. Finally, we vary the coupling strength parameters of the network map and observe that it shows diverse wavy patterns and clustered states.
具有电磁通量的约简Chialvo映射的研究:动力学和网络行为
本文介绍了一种新的二维离散神经元映射,该映射通过在简化的Chialvo映射上添加电磁通量得到,并研究了该映射的各个动力学方面。讨论了不动点的稳定性、双稳定性、不同分岔、s形混沌吸引子和发射模式。在我们的探索中,双稳态现象显示了不同周期吸引子沿吸引区盆地共存。通过周期加倍和反向周期加倍,我们观察到系统经历了混沌行为,并说明了混沌气泡的行为。进一步,我们探讨了映射的余维1和余维2分岔的数值延拓。混沌吸引子在不同状态下的演化及其相关维数显示了混沌吸引子映射的复杂结构和复杂性。此外,我们将动力学研究扩展到神经元网络,特别关注环状星网络。这项更广泛的研究显示了网络中的不同动态状态,如同步、非同步和嵌合状态。最后,我们改变了网络图的耦合强度参数,观察到它呈现出不同的波浪模式和聚类状态。
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
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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