Yazar "Şengül Ayan, Sevgi" için listeleme
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Analysis of brain signals by EEG based emotion recognition methods
Çelik, Ertuğrul (Antalya Bilim Üniversitesi Lisansüstü Eğitim Enstitüsü, 2023)This study examines an experiment conducted at Akdeniz University and Antalya Bilim University, aiming to evaluate students' responses to different drawing methods. The experiment was carried out using neurophysiological ... -
Analysis of parameter changes of a neuronal network model using transfer entropy
Şengül Ayan, Sevgi; Gençağa, Deniz (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
Dalaman, Uğur; Şengül Ayan, Sevgi; Yaraş, Nazmi (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 ... -
Comparing nonlinear optimization techniques to predict dynamic parameters of biological processes in nonlinear differential equation models
Şengül Ayan, Sevgi (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. ... -
Computational bifurcation analysis to find dynamic transitions of the corticotroph model
Şengül Ayan, Sevgi; Kurt, Ahmet (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
Gençağa, Deniz; Şengül Ayan, Sevgi (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 ... -
Estimating currents from action potentials using single and multi-output neural network models
Süleymanoğlu, Selim; Şengül Ayan, Sevgi; Özdoğan, Hasan (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 ... -
Ionic current estimations from cardiac action potentials by using single and multi-output regression models
Süleymanoğlu, Selim (Antalya Bilim Üniversitesi Lisansüstü Eğitim Enstitüsü, 2022)Conventional experimental procedures for capturing the dynamics of ion channels are not at all times possible, and when they are, they can be time-consuming. Using an artificial neural network (ANN) the aim is to predict ... -
Matematiksel modelleme ve dinamik-kenetleme yöntemleri ile ventrikül kardiyomiyosit aksiyon potansiyeli dinamiklerinin incelenmesi
Şengül Ayan, Sevgi (Antalya Bilim Üniversitesi, 2019) -
Mathematical model of the ventricular action potential and effects of isoproterenol-induced cardiac hypertrophy in rats
Şengül Ayan, Sevgi; Sırcan, Ahmet K.; Abewa, Mohamedou; Kurt, Ahmet; Dalaman, Uğur; Yaraş, Nazmi (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 ... -
Model nöronların elektrokimyasal enerji tüketiminin diferansiyel denklem sistemleri kullanılarak incelenmesi
Şengül Ayan, Sevgi (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 ... -
Modeling and analyzing Ca2+ channel dynamics during cardiac action potential
Şengül Ayan, Sevgi; Sırcan, Ahmet K.; Kurt, Ahmet; Özdoğan, Hasan (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 ... -
Neurocognitive responses to spatial design behaviors and tools among interior architecture students: a pilot study
Şekerci, Yaren; Kahraman, Mehmet Uğur; Özturan, Özgü; Çelik, Ertuğrul; Şengül Ayan, Sevgi (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 ... -
Nöronlardaki enerji tüketiminin sıcaklık bağımlılığının iki bölmeli matematiksel modelde analiz edilmesi
Şengül Ayan, Sevgi (IVPE, 2022) -
A pilot study of ion current estimation by ANN from action potential waveforms
Şengül Ayan, Sevgi; Süleymanoğlu, Selim; Özdoğan, Hasan (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 ... -
Quantitative roles of ion channel dynamics on ventricular action potential
Şengül Ayan, Sevgi; Sırcan, Ahmet Kürşad (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 ... -
Statistical approaches for the analysis of dependency among neurons under noise
Gençağa, Deniz; Şengül Ayan, Sevgi; Farnoudkia, Hajar; Okuyucu, Serdar (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 ... -
Sulfur dioxide derivative prevents the prolongation of action potential during the isoproterenol-induced hypertrophy of rat cardiomyocytes
Dalaman, Uğur; Özdoğan, Hasan; Sırcan, Ahmet Kürşad; Şengül Ayan, Sevgi; Yaraş, Nazmi (Anais da Academia Brasileira de Ciências, 2021)Exogenous SO2 is toxic especially to the pulmonary and cardiovascular system, similar to nitric-oxide, carbon-monoxide, and hydrogen-sulfide. Endogenous SO2 is produced in many cell types. The SO2 content of the rat heart ... -
Use of phase-contrast MRI to measure aortic stiffness in young-onset hypertension: a pilot study
Özer Gökaslan, Çiğdem; Gökaslan, Serkan; Demirel, Emin; Şengül Ayan, Sevgi (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 ...