Synchronization and Anti-synchronization of Coupled Hindmarsh–Rose Neuron Models

نویسندگان

  • Christos K. Volos
  • Dimitrios Prousalis
  • Ioannis M. Kyprianidis
  • Ioannis Stouboulos
  • Sundarapandian Vaidyanathan
چکیده

In this paper, a coupling scheme based on Nonlinear Open Loop Controllers, between two identical coupled Hindmarsh–Rose neuron models is investigated analytically and numerically. In more details the cases of bidirectional and unidirectional coupling are chosen, which are designed for achieving two of the more interesting types of synchronization the complete synchronization and anti-synchronization. The stability of the proposed method is ensured by using the Lyapunov function stability theory. Simulation results verified that the proposed coupling scheme drives the system either to complete synchronization or anti-synchronization depending on the choice of the signs of the error function’s parameters. Furthermore, the Hindmarsh–Rose neuron model is emulated by an electronic circuit and its dynamical behavior is studied by using the electronic simulation package Cadence OrCAD in order to confirm the feasibility of the theoretical model.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Development of Dynamics and Synchronization Model for Coupled Neurons Using Hindmarsh-Rose Model

This paper presents development of dynamics and synchronization of coupled neurons using the Hindmarsh-Rose neuron model. Time-scales of both slow-fast variables are added to reduce the number of simulation time. By this method, we can analyze different pattern of synchronization of two systems by giving delayed-times in fast variable and different time-scales in slow variable. Sigmoid function...

متن کامل

Mathematical Model of Dynamics and Synchronization of Coupled Neurons Using Hindmarsh-Rose Model

This paper presents mathematical model of the dynamics and synchronization of coupled neurons. The aim is first the understanding of the biological meaning of existing mathematical systems concerning neurons such as Hindmarsh-Rose models. Synchronization is an interesting phenomenon that can occur in such large topologies consisting of connected systems, i.e. after a certain time period either ...

متن کامل

Tracking the State of the Hindmarsh-Rose Neuron by Using the Coullet Chaotic System Based on a Single Input

Based on Lyapunov stability theory, a partial synchronization scheme is proposed to track the signal of Hindmarsh-Rose neuron using the Coullet system via only one single controller. Summation for the series of error variables are employed to detect the degree of synchronization. Three cases are considered to verify the proposed partial synchronization scheme. To demonstrate the effectiveness o...

متن کامل

Effects of Time Delay on Chaotic Neuronal Discharges

Effects of time delay on Hindmarsh-Rose(HR) model neuron are studied. For an individual neuron, with the scaling delay time and synaptic intensity, neuronal firing pattern’s transform among tonic spiking, busting and resting firing state, and the neuronal chaotic spike could be controlled. Furthermore, two coupled HR neuronal system could be fully synchronized under certain coupled strength and...

متن کامل

Efficient synchronization of structurally adaptive coupled Hindmarsh-Rose neurons

The use of spikes to carry information between brain areas implies complete or partial synchronization of the neurons involved. The degree of synchronization reached by two coupled systems and the energy cost of maintaining their synchronized behaviour is highly dependent on the nature of the systems. For non-identical systems the maintenance of a synchronized regime is energetically a costly p...

متن کامل

ذخیره 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 نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016