نتایج جستجو برای: nagumo model

تعداد نتایج: 2104731  

2013
Ranjeetha Bharath Jean-Jacques Slotine

This work explores four nonlinear classical models of neural oscillators, the HodgkinHuxley model, the Fitzhugh-Nagumo model, the Morris-Lecar model, and the Hindmarsh-Rose model. Nonlinear contraction theory is used to develop observers and perform synchronization analysis on these systems. Neural oscillation and signaling models are based on the biological function of the neuron, with behavio...

Mehrdad Ghaemi Mohammad Ghasem Mahjani Yazdan Asgari,

FitzHugh-Nagumo (FHN) model is a famous Reaction-Diffusion System which first introduced for the conduction of electrical impulses along a nerve fiber. This model is also considered as an abstract model for pattern formation. Here, we have used the Cellular Automata method to simulate the pattern formation of the FHN model. It is shown that the pattern of this model is very similar to those...

2013
Changjin Xu Peiluan Li

In this paper, a FitzHugh-Nagumo model with time delays is investigated. The linear stability of the equilibrium and the existence of Hopf bifurcation with delay τ is investigated. By applying Nyquist criterion, the length of delay is estimated for which stability continues to hold. Numerical simulations for justifying the theoretical results are illustrated. Finally, main conclusions are given...

2012
Jong-Shenq Guo Hirokazu Ninomiya Chin-Chin Wu Carmen Chicone JONG-SHENQ GUO HIROKAZU NINOMIYA CHIN-CHIN WU

We study the rotating wave patterns in an excitable medium in a disk. This wave pattern is rotating along the given disk boundary with a constant angular speed. To study this pattern we use the wave front interaction model proposed by Zykov in 2007. This model is derived from the FitzHugh-Nagumo equation and it can be described by two systems of ordinary differential equations for wave front an...

1993
Alexandre Panfilov Pauline Hogeweg

In a modified FitzHugh—Nagumo model for excitable tissue a spiral wave is found to break up into an irregular spatial pattern. The main difference between our equations and the standard FitzHugh—Nagumo model is that we use two different time constants: one for the relative refractory period and another for the absolute refractory period. Breakup occurs when the relative refractory period is sho...

Journal: :Transactions of the Institute of Systems, Control and Information Engineers 2017

2017
Salem Abdelmalek Samir Bendoukha Mokhtar Kirane

This paper studies the solutions of a reaction–diffusion system with nonlinearities that generalise the Lengyel–Epstein and FitzHugh–Nagumo nonlinearities. Sufficient conditions are derived for the global asymptotic stability of the system’s solutions and confirmed through numerical Examples.

Journal: :Mathematical biosciences and engineering : MBE 2008
Faina Berezovskaya Erika Camacho Stephen Wirkus Georgy Karev

The FitzHugh-Nagumo equations have been used as a caricature of the Hodgkin-Huxley equations of neuron firing and to capture, qualitatively, the general properties of an excitable membrane. In this paper, we utilize a modified version of the FitzHugh-Nagumo equations to model the spatial propagation of neuron firing; we assume that this propagation is (at least, partially) caused by the cross-d...

Journal: :Computers & Mathematics with Applications 2012
B. Ambrosio M. A. Aziz-Alaoui

We consider a FitzHugh-Nagumo Reaction-Diffusion type system (FHN). The dynamics of the reaction part induces a unique repulsive stationnary point (0, 0) and a unique attractive limit cycle. After a description of the asymptotic behaviour of the FHN system, we deal with the synchronization and control analysis of N coupled FHN systems.

2010
Haili Wang Yuanhua Qiao Lijuan Duan Faming Fang Jun Miao Bingpeng Ma

In this paper, we make some analysis on the FitzHugh-Nagumo model and improve it to build a neural network, and the network is used to implement visual selection and attention shifting. Each group of neurons representing one object of a visual input is synchronized; different groups of neurons representing different objects of a visual input are desynchronized. Cooperation and competition mecha...

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