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arXiv 1701.00342nlin.AOnlin.CD
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二维耦合神经元网络中的嵌合体模式

Chimera patterns in two-dimensional networks of coupled neurons

Alexander Schmidt, Theodoros Kasimatis, Johanne Hizanidis, Astero Provata, Philipp Hövel

摘要:

我们讨论了在二维环形几何耦合的FitzHugh-Nagumo和Leaky Integrate-and-Fire振子网络中的同步模式。这两种模型的共同特征是存在快速和缓慢的动态,这是神经元的典型特征。早期的研究表明,这两个模型耦合时,非局部在一维环网络产生嵌合体状态的参数值的大范围内。在这项研究中,我们给出了大量的各种形状的二维嵌合体模式,包括斑点,环,条纹和网格,在两个模型中观察到的证据,以及主要在FitzHugh-Nagumo系统中发现的其他模式。这两个系统都表现出多稳定性:对于相同的参数值,不同的初始条件会产生不同的动力学状态。当参数(耦合范围、耦合强度、不应期和耦合相位)变化时,在各种模式之间发生过渡。在两个模型中观察到的许多模式遵循相似的规则。例如,环的直径随着耦合半径线性增长。

英文摘要:

We discuss synchronization patterns in networks of FitzHugh-Nagumo and Leaky Integrate-and-Fire oscillators coupled in a two-dimensional toroidal geometry. Common feature between the two models is the presence of fast and slow dynamics, a typical characteristic of neurons. Earlier studies have demonstrated that both models when coupled nonlocally in one-dimensional ring networks produce chimera states for a large range of parameter values. In this study, we give evidence of a plethora of two-dimensional chimera patterns of various shapes including spots, rings, stripes, and grids, observed in both models, as well as additional patterns found mainly in the FitzHugh-Nagumo system. Both systems exhibit multistability: For the same parameter values, different initial conditions give rise to different dynamical states. Transitions occur between various patterns when the parameters (coupling range, coupling strength, refractory period, and coupling phase) are varied. Many patterns observe in the two models follow similar rules. For example the diameter of the rings grows linearly with the coupling radius.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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