Chaos in the Hodgkin-Huxley Model
نویسندگان
چکیده
The Hodgkin–Huxley model was developed to characterize the action potential of a squid axon. It has served as an archetype for compartmental models of the electrophysiology of biological membranes. Thus the dynamics of the Hodgkin–Huxley model have been extensively studied both with a view to their biological implications and as a test bed for numerical methods that can be applied to more complex models. This note demonstrates previously unobserved dynamics in the Hodgkin–Huxley model, namely, the existence of chaotic solutions in the model with its original parameters. The solutions are found by displaying rectangles in a cross-section whose images under the return map produce a Smale horseshoe. The chaotic solutions are highly unstable, but they are significant as they lie in the basin boundary that establishes the threshold of the system.
منابع مشابه
A new circuit model for the Parameters in equations of low power Hodgkin-Huxley neuron cell
In this paper, α and β parameters and gating variables equations of Hodgkin-Huxley neuron cell have been studied. Gating variables show opening and closing rate of ion flow of calcium and potassium in neuron cell. Variable functions α and β, are exponential functions in terms of u potential that have been obtained by Hodgkin and Huxley experimentally to adjust the equations of neural cells. In ...
متن کاملEntrainment and chaos in the pulse-driven Hodgkin-Huxley oscillator
The original Hodgkin-Huxley model describes action potential generation in the squid giant axon and is a paradigm for conductance-based, excitable biological systems. Motivated by the recent theoretical work of Qiudong Wang and Lai-Sang Young, this paper examines the response of the Hodgkin-Huxley equations to low-frequency periodic pulsatile forcing. It is shown that 1. The pulse-driven Hodgki...
متن کاملEntrainment and Chaos in a Pulse-Driven Hodgkin-Huxley Oscillator
The Hodgkin-Huxley model describes action potential generation in certain types of neurons and is a standard model for conductance-based, excitable cells. Following the early work of Winfree and Best, this paper explores the response of a spontaneously spiking Hodgkin-Huxley neuron model to a periodic pulsatile drive. The response as a function of drive period and amplitude is systematically ch...
متن کاملGlobal Chaos Control of the FitzHugh-Nagumo Chaotic Neuron Model via Integral Sliding Mode Control
Chaos is an important applied area in nonlinear dynamical systems and it is applicable to many real-world systems including the biological systems. Nerve membranes are known to exhibit their own nonlinear dynamics which generate and propagate action potentials. Such nonlinear dynamics in nerve membranes can produce chaos in neurons and related bifurcations. In 1952, A.L. Hodgkin and A.F. Huxley...
متن کاملAnalytical Criteria for Local Activity of reaction-Diffusion CNN with Four State Variables and Applications to the Hodgkin-Huxley equation
This paper presents analytical criteria for local activity in reaction–diffusion Cellular Nonlinear Network (CNN) cells [Chua, 1997, 1999] with four local state variables. As a first application, we apply the criteria to a Hodgkin–Huxley CNN, which has cells defined by the equations of the cardiac Purkinje fiber model of morphogenesis that was first introduced in [Noble, 1962] to describe the l...
متن کاملCHAOSOM: Collaboration between Chaos and Self-Organizing Map
In this study, we try to implant chaotic features into the learning algorithm of self-organizing map. We call this concept as Chaotic SOM (CHAOSOM). As a first step to realize CHAOSOM, we consider the case that learning rate and neighboring coefficient of SOM are refreshed by chaotic pulses generated by the Hodgkin-Huxley equation. We apply the CHAOSOM to solve a traveling salesman problem and ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- SIAM J. Applied Dynamical Systems
دوره 1 شماره
صفحات -
تاریخ انتشار 2002