In this article, numerical study for the fractional Cable equation which is fundamental equations for modeling neuronal dynamics is introduced by using weighted average of finite difference methods. The stability analysis of the proposed methods is given by a recently proposed procedure similar to the standard John von Neumann stability analysis. A simple and an accurate stability criterion valid for different discretization schemes of the fractional derivative and arbitrary weight factor is introduced and checked numerically. Numerical results, figures, and comparisons have been presented to confirm the theoretical results and efficiency of the proposed method
AbstractIn this paper, we generalize the integer-order cable model of the neuron system into the fra...
An explicit numerical method to solve a fractional cable equation which involves two temporal Rieman...
Most of the beautiful biological functions in neural systems are expected to happen considering the ...
AbstractIn this article, numerical study for the fractional Cable equation which is fundamental equa...
The cable equation is one of the most fundamental equations for modeling neuronal dynamics. Cable eq...
The cable equation is one of the most fundamental equations for modeling neuronal dynamics. Cable eq...
The fractional variable-order (VO) two-dimensional (2Dim) Cable equation is one of the most signific...
The cable equation is one of the most fundamental equations for modeling neuronal dynamics. These eq...
Fujian NSF [S0750017]; National NSF of China [10531080]; Ministry of Education of China; 973 High Pe...
The aim of this thesis is to compare di erent numerical methods for solving the cable equation for ...
We propose an extension of the cable equation by introducing a Caputo time fractional derivative. Th...
This study presents two new numerical techniques for solving time-fractional one-dimensional cable d...
AbstractIn this paper, we describe a numerical approach based on finite difference method to solve a...
We introduce fractional Nernst-Planck equations and derive fractional cable equations as macroscopic...
This work focuses on the practical and reasonable synthesis of the fractional-order FitzHugh-Nagumo ...
AbstractIn this paper, we generalize the integer-order cable model of the neuron system into the fra...
An explicit numerical method to solve a fractional cable equation which involves two temporal Rieman...
Most of the beautiful biological functions in neural systems are expected to happen considering the ...
AbstractIn this article, numerical study for the fractional Cable equation which is fundamental equa...
The cable equation is one of the most fundamental equations for modeling neuronal dynamics. Cable eq...
The cable equation is one of the most fundamental equations for modeling neuronal dynamics. Cable eq...
The fractional variable-order (VO) two-dimensional (2Dim) Cable equation is one of the most signific...
The cable equation is one of the most fundamental equations for modeling neuronal dynamics. These eq...
Fujian NSF [S0750017]; National NSF of China [10531080]; Ministry of Education of China; 973 High Pe...
The aim of this thesis is to compare di erent numerical methods for solving the cable equation for ...
We propose an extension of the cable equation by introducing a Caputo time fractional derivative. Th...
This study presents two new numerical techniques for solving time-fractional one-dimensional cable d...
AbstractIn this paper, we describe a numerical approach based on finite difference method to solve a...
We introduce fractional Nernst-Planck equations and derive fractional cable equations as macroscopic...
This work focuses on the practical and reasonable synthesis of the fractional-order FitzHugh-Nagumo ...
AbstractIn this paper, we generalize the integer-order cable model of the neuron system into the fra...
An explicit numerical method to solve a fractional cable equation which involves two temporal Rieman...
Most of the beautiful biological functions in neural systems are expected to happen considering the ...