Programs
- Ph. D. in Mechanical Engineering -
- B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering) - Undergraduate
Publication Type : Journal Article
Source : International Journal of Biomathematics, 15(05), 2250027, 2022
Url : https://www.worldscientific.com/doi/10.1142/S1793524522500279
Campus : Amritapuri
School : School of Computing
Year : 2022
Abstract : In this paper, the numerical solution of stochastic FitzHugh–Nagumo equation (SFNE) has been obtained by Chebyshev spectral collocation. Semi-implicit Euler–Maruyama scheme has been used for temporal variable to discretize the stochastic FitzHugh–Nagumo equation. A detailed stability analysis for stochastic FitzHugh–Nagumo equation has also been discussed. Graphical representations of obtained results of the stochastic FitzHugh–Nagumo equation have been discussed to provide a clear idea about the behavior of the solutions.
Cite this Research Publication : S. Singh, S. Saha Ray "Analysis of stochastic fitzhugh–nagumo equation for wave propagation in a neuron arising in certain neurobiology models", International Journal of Biomathematics, 15(05), 2250027, 2022