作者
Ranjit Kumar Upadhyay, Sanjeev Kumar Sharma, Arnab Mondal, Argha Mondal
发表日期
2022/11/1
期刊
Applied Mathematical Modelling
卷号
111
页码范围
288-309
出版商
Elsevier
简介
The diverse firing responses in a single neuron model as well as in a neuronal network play a major role in understanding the collective neuronal dynamics. In this paper, we consider an excitable slow-fast memristive model and study its various intrinsic dynamics by allowing a periodic external stimulus. The single model exhibits various types of spiking, bursting, mixed-mode oscillations (MMOs), and mixed-mode bursting oscillations (MMBOs) depending on the amplitude and frequency of the periodic injected current. Corresponding bifurcation analysis reveals the existence of supercritical and subcritical Hopf bifurcations in the system depending on the major predominant parameters that establish the scenarios of the neuronal responses. We have verified analytically the existence and stability of Hopf bifurcations. The memristive system can produce cascade of period doubling bifurcations for particular parameter …
学术搜索中的文章
RK Upadhyay, SK Sharma, A Mondal, A Mondal - Applied Mathematical Modelling, 2022