Neuronal Synchronization of Electrical Activity, using the Hodgkin-Huxley Model and RCLSJ Circuit

M. JoseA.Díaz, O. Téquita, F. Naranjo
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引用次数: 6

Abstract

We simulated the neuronal electrical activity using the Hodgkin-Huxley model (HH) and a superconductor circuit, containing Josephson junctions. These HH model make possible simulate the main neuronal dynamics characteristics such as action potentials, firing threshold and refractory period. The purpose of the manuscript is show a method to syncronize a RCLshunted Josephson junction to a neuronal dynamics represented by the HH model. Thus the RCLSJ circuit is able to mimics the behavior of the HH neuron. We controlated the RCLSJ circuit, using and improved adaptative track scheme, that with the improved Lyapunov functions and the two controllable gain coecients allowing synchronization of two neuronal models. Results will provide the path to follow forward the understanding neuronal networks synchronization about, generating the intrinsic brain behavior.
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使用霍奇金-赫胥黎模型和RCLSJ电路的神经元电活动同步
我们使用霍奇金-赫胥黎模型(HH)和包含约瑟夫森结的超导体电路模拟了神经元的电活动。这些HH模型使模拟动作电位、放电阈值和不应期等主要神经元动力学特性成为可能。该手稿的目的是展示一种方法来同步一个rcl分流约瑟夫森连接神经元动力学表示的HH模型。因此,RCLSJ电路能够模仿HH神经元的行为。我们利用改进的李雅普诺夫函数和两个可控制增益系数来控制RCLSJ电路,并改进了自适应跟踪方案,使两个神经元模型同步。研究结果将为进一步理解神经元网络同步,产生大脑内在行为提供路径。
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