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Synchronization of Coupled Different Chaotic FitzHugh-Nagumo Neurons with Unknown Parameters under Communication-Direction-Dependent Coupling

机译:耦合不同混沌FITZHUGH-NAGUMO神经元在通信方向依赖性耦合下的未知参数同步

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摘要

This paper investigates the chaotic behavior and synchronization of two different coupled chaotic FitzHugh-Nagumo (FHN) neurons with unknown parameters under external electrical stimulation (EES). The coupled FHN neurons of different parameters admit unidirectional and bidirectional gap junctions in the medium between them. Dynamical properties, such as the increase in synchronization error as a consequence of the deviation of neuronal parameters for unlike neurons, the effect of difference in coupling strengths caused by the unidirectional gap junctions, and the impact of large time-delay due to separation of neurons, are studied in exploring the behavior of the coupled system. A novel integral-based nonlinear adaptive control scheme, to cope with the infeasibility of the recovery variable, for synchronization of two coupled delayed chaotic FHN neurons of different and unknown parameters under uncertain EES is derived. Further, to guarantee robust synchronization of different neurons against disturbances, the proposed control methodology is modified to achieve the uniformly ultimately bounded synchronization. The parametric estimation errors can be reduced by selecting suitable control parameters. The effectiveness of the proposed control scheme is illustrated via numerical simulations.
机译:本文研究了外部电气刺激(EES)下具有未知参数的两种不同耦合混沌FITZHUGH-NAGUMO(FHN)神经元的混沌行为和同步。不同参数的耦合FHN神经元在它们之间的介质中承认单向和双向间隙连接。动态特性,例如同步误差的增加因神经元与神经元不同的神经元参数的偏差,差异引起的单向间隙结引起的耦合强度的影响,以及由于神经元分离而大的时滞的影响在探索耦合系统的行为方面进行了研究。推导出一种新的基于非基于非线性非线性自适应控制方案,以应对不确定EES下不同和未知参数的两种耦合延迟混沌FHN神经元的同步的恢复变量的不可行性。此外,为了保证不同神经元对扰动的鲁棒同步,修改了所提出的控制方法以实现均匀最终有界同步。通过选择合适的控制参数可以减少参数估计误差。通过数值模拟说明所提出的控制方案的有效性。

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