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Toplam kayıt 15, listelenen: 1-10
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 ...
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 ...
A pilot study of ion current estimation by ANN from action potential waveforms
(Journal of Biological Physics, 2022)
Experiments using conventional experimental approaches to capture the dynamics of ion
channels are not always feasible, and even when possible and feasible, some can be timeconsuming. In this work, the ionic current–time ...
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 ...
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 ...
Classification of diabetic cardiomyopathy-related cells using machine learning
(Moscow University Physics Bulletin, 2022)
The patch-clamp technique is a significant tool in current electrophysiology research, especially
in cardiovascular diseases, because it can capture electrical activity of the heart from cardiomyocytes. It
is challenging ...
Use of phase-contrast MRI to measure aortic stiffness in young-onset hypertension: a pilot study
(Cardiology in the Young, 2022)
Young-onset hypertension is defined as hypertension diagnosed before the age of40 years. Aortic pulse wave velocity is an indication of aortic stiffness. MRI assessment has beenwell verified compared to invasive pressure ...
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. ...
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 ...
