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Toplam kayıt 10, listelenen: 1-10
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 ...
Model nöronların elektrokimyasal enerji tüketiminin diferansiyel denklem sistemleri kullanılarak incelenmesi
(2. Uluslararası Bilimsel Araştırmalar ve Yenilikçi Çalışmalar Sempozyumu, 2022)
Nöronlar tarafından aksiyon potansiyeli üretimi, enerji gerektiren yoğun bir süreçtir ve nöronların sinyal iletim aktivitesini korumak için ne kadar metabolik enerjinin gerekli olduğunu belirlemek, oldukça pratik öneme ...
Estimating currents from action potentials using single and multi-output neural network models
(Second International Congress on Biological and Health Sciences, 2022)
Ion channels are water-filled pores formed by membrane proteins abundant in excitable cells' plasma
membranes. Ion channels are responsible for converting signals into biological responses. They are primarily
engaged in ...
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 ...
Comparing nonlinear optimization techniques to predict dynamic parameters of biological processes in nonlinear differential equation models
(Black Sea Summit 8th International Applied Sciences Congress, 2022)
The modeling of nonlinear dynamics, which has been a significant research topic for half a
decade. During the development process, the modeler creates a model that is as close to the
underlying real dynamics as possible. ...
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 ...
Neurocognitive responses to spatial design behaviors and tools among interior architecture students: a pilot study
(2024)
The impact of emotions on human behavior is substantial, and the ability to recognize people’s feelings has a wide range of practical applications including education. Here, the methods and tools of education are being ...
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 ...