Neural activities of neuron–Astrocyte network under environmental disturbances: Numerical analysis and hardware experiments

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED
Kaijie Chen, Zhijun Li, Yang Yin
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Abstract

The normal functioning of the actual brain relies on the collaborative efforts of neurons across multiple functional regions as well as the support and regulation of astrocytes, and its operating environment is both intricate and diverse. Hence, to replicate the electrophysiological properties of the central nervous system more accurately, it is essential to take the neuronal heterogeneity, the role of astrocytes, and environmental effects into account together. To this end, a neuron–astrocyte network comprising an Hindmarsh-Rose (HR) neuron, a FitzHugh-Nagumo (FHN) neuron, and an astrocyte, is proposed in this paper. The network is subjected to a complex environment to mimic the neural firing activities in biological reality. Several numerical analyses are performed to reveal the effects of the environments on the firing activities and the role of the astrocyte on the heterogeneous neuron network. It is found that the astrocyte can reduce coupling strength through neurotransmitter transmission, allowing for real-time regulation of coupling strength between neurons. More interestingly, environmental changes can alter the firing patterns of the neuron–astrocyte network, and greater electromagnetic radiation intensity and higher temperature may contribute to the firing synchronization between the coupled neurons. Finally, a hardware implementation based on the DSP platform is constructed to verify the correctness and feasibility of the neuron–astrocyte network under the interference of complex environment.
环境干扰下神经元-星形胶质细胞网络的神经活动:数值分析和硬件实验
实际大脑的正常功能既依赖于多个功能区神经元的协同作用,也依赖于星形胶质细胞的支持和调控,其运行环境复杂多样。因此,为了更准确地复制中枢神经系统的电生理特性,必须综合考虑神经元的异质性、星形胶质细胞的作用和环境效应。为此,本文提出了一个由Hindmarsh-Rose (HR)神经元、FitzHugh-Nagumo (FHN)神经元和星形胶质细胞组成的神经元-星形胶质细胞网络。神经网络被置于一个复杂的环境中,以模拟生物现实中的神经放电活动。通过数值分析揭示了环境对星形胶质细胞放电活动的影响以及星形胶质细胞在异质神经元网络中的作用。发现星形胶质细胞可以通过神经递质传递降低偶联强度,实现神经元间偶联强度的实时调节。更有趣的是,环境变化可以改变神经元-星形胶质细胞网络的放电模式,更高的电磁辐射强度和更高的温度可能有助于耦合神经元之间的放电同步。最后,构建了基于DSP平台的硬件实现,验证了复杂环境干扰下神经元-星形胶质细胞网络的正确性和可行性。
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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