Abstract
It is well-known that the electrical activities of neurons are induced by a wide variety of external factors. This work considers the effect of electromagnetic induction on improved denatured Morris-Lecar neuron model. The dependence of dynamical behaviour of the original denatured Morris-Lecar model on parameters is addressed through numerical bifurcation analysis. This allows us to explore the changes in dynamics of the model qualitatively as parameters are varied. Then we investigate the effects of external periodic current and electromagnetic flux on the dynamical properties of the improved denatured MorrisLecar neuron model. Different types of dynamical behaviour, ranging from regular periodic spiking to complex bursting, are found when the multiple parameters are varied simultaneously. The improved model could be applied to research where simple models are required for physiological and pathophysiological responses in neurons.
| Original language | English |
|---|---|
| Title of host publication | 2022 International Conference on Decision Aid Sciences and Applications, DASA 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 55-60 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665495011 |
| DOIs | |
| State | Published - 2022 |
Publication series
| Name | 2022 International Conference on Decision Aid Sciences and Applications, DASA 2022 |
|---|
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- Morris-Lecar model
- Neurons
- bifurcation analysis
- electromagnetic flux
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
- Decision Sciences (miscellaneous)
- Information Systems and Management
- Control and Optimization