Search
Now showing items 1-7 of 7
Analysis of parameter changes of a neuronal network model using transfer entropy
(International Advanced Researches and Engineering Journal, 2020)
Understanding the dynamics of coupled neurons is one of the fundamental problems in the analysis of neuronal model dynamics. The transfer entropy (TE) method is one of the primary analyses to explore the information flow ...
Modeling and analyzing Ca2+ channel dynamics during cardiac action potential
(International Conference on Applied Analysis and Mathematical Modeling, 2019)
We have studied the cardiac action potential model which consists of 26 nonlinear first-order differential
equations in a detailed manner computationally. Later, it has been discussed what is the role of the Ca2+ ion
channel ...
Mathematical model of the ventricular action potential and effects of isoproterenol-induced cardiac hypertrophy in rats
(European Biophysics Journal, 2020)
Mathematical action potential (AP) modeling is a well-established but still-developing area of research to better understand physiological and pathological processes. In particular, changes in AP mechanisms in the isoproterenol ...
Quantitative roles of ion channel dynamics on ventricular action potential
(Channels, 2021)
Mathematical models for the action potential (AP) generation of the electrically excitable cells including the heart are involved different mechanisms including the voltage-dependent currents with nonlinear time- and ...
Computational bifurcation analysis to find dynamic transitions of the corticotroph model
(Ankara University Faculty of Sciences, 2018)
The corticotroph model is a 7th order nonlinear differential equation
system derived for representing the action potential dynamics of corticotrophs; one
of the endocrine cells that are responsible for stress regulation. ...
Effects of neuronal noise on neural communication
(Proceedings, 2019)
In this work, we propose an approach to better understand the effects of neuronal noise on neural communication systems. Here, we extend the fundamental Hodgkin-Huxley (HH) model by adding synaptic couplings to represent ...
Statistical approaches for the analysis of dependency among neurons under noise
(MDPI, 2020)
Neuronal noise is a major factor affecting the communication between coupled neurons. In this work, we propose a statistical toolset to infer the coupling between two neurons under noise. We estimate these statistical ...