Dynamics of fractional order modified Morris-Lecar neural model

نویسندگان

  • Ranjit Kumar Upadhyay
  • Argha Mondal
چکیده

Most of the beautiful biological functions in neural systems are expected to happen considering the system with memory effect. Fractional differential equations are very useful to investigate long-range interacting systems or systems with memory effect. In this paper, a fractional order nonlinear three dimensional modified Morris-Lecar neural system (M-L system) has been studied. The fractional order M-L system is a generalization of the integer order M-L system. The paper presents an approximate analytical solution of the fractional order M-L system, using Homotopy Perturbation Method (HPM) and Variational Iteration Method (VIM). The fractional derivatives are described in the Caputo sense. We have used the above methods as they show very efficient result for very small time region. Solutions are obtained in the form of rapidly convergent infinite series and only a few iterations are needed to obtain the approximate solutions. Comparison of both HPM and VIM reveals that the two present methods of solution are elegant and powerful for solving the nonlinear fractional order biological as well as neural systems.

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

Gait Generation for a Bipedal System By Morris-Lecar Central Pattern Generator

The ability to move in complex environments is one of the most important features of humans and animals. In this work, we exploit a bio-inspired method to generate different gaits in a bipedal locomotion system. We use the 4-cell CPG model developed by Pinto [21]. This model has been established on symmetric coupling between the cells which are responsible for generating oscillatory signals. Th...

متن کامل

Dynamics of Membrane Excitability Determine Inter-Spike Interval Variability: A Link Between Spike Generation Mechanisms and Cortical Spike Train Statistics

We propose a biophysical mechanism for the high interspike interval variability observed in cortical spike trains. The key lies in the nonlinear dynamics of cortical spike generation, which are consistent with type I membranes where saddle-node dynamics underlie excitability (Rinzel & Ermentrout, 1989). We present a canonical model for type I membranes, the theta-neuron. The theta-neuron is a p...

متن کامل

Modeling the Dynamics of Central Pattern Generators and Anesthetic Action

v Acknowledgments vi Chapter 1. General Introduction 1 Part 1. Mechanisms Underlying Locomotion in the Crayfish Swimmeret System 3 Summary 4 Chapter 2. Introduction 6 2.1. Neural mechanisms generating locomotion are complex and largely unknown 6 2.2. The crayfish locomotor neural circuit 7 2.3. Phase Response Curve (PRC) 10 2.4. Theory of Weakly Coupled Oscillators (TWCO) 13 2.5. Previous model...

متن کامل

Bifurcations in a synaptically coupled Morris-Lecar neuron model

We study bifurcations arising in a system of two synaptically interconnected neurons where the individual neurons are represented by the Morris-Lecar model. The synaptic interconnection strength and externally applied input dc current are treated as bifurcation parameters and the critical values that result in neural excitability are identified. It is seen that the synaptic coupling strength, (...

متن کامل

A phase plane analysis of neuron-astrocyte interactions

Intensive experimental studies have shown that astrocytes are active partners in modulation of synaptic transmission. In the present research, we study neuron-astrocyte signaling using a biologically inspired model of one neuron synapsing one astrocyte. In this model, the firing dynamics of the neuron is described by the Morris-Lecar model and the Ca(2+) dynamics of a single astrocyte explained...

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 2015