A Study on the Ion Channel Dynamics Using the Minimal Diffusion Formulation Variants 2v1n and 1v1n

EMU I-REP

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dc.contributor.advisor Güler, Marifi
dc.contributor.author Abdulla, Hemin Sardar
dc.date.accessioned 2021-08-27T06:43:12Z
dc.date.available 2021-08-27T06:43:12Z
dc.date.issued 2018-01
dc.date.submitted 2018
dc.identifier.citation Abdulla, Hemin Sardar. (2018). A Study on the Ion Channel Dynamics Using the Minimal Diffusion Formulation Variants 2v1n and 1v1n. Thesis (M.S.), Eastern Mediterranean University, Institute of Graduate Studies and Research, Dept. of Computer Engineering, Famagusta: North Cyprus. en_US
dc.identifier.uri http://hdl.handle.net/11129/5064
dc.description Master of Science in Computer Engineering. Thesis (M.S.)--Eastern Mediterranean University, Faculty of Engineering, Dept. of Computer Engineering, 2018. Supervisor: Prof. Dr. Marifi Güler. en_US
dc.description.abstract The excitability of cells will be facilitated by voltage gated ion channels. Although, these channels are accommodating individually by a multiple number of gates. The effects of ion channel fluctuations on the transmembrane voltage activity are profound of small-size membranes patches. Recently, a model that captures the collective dynamics of Markov chain ensembles was proposed by Güler, M. (2015) [Physical Review E, 91(6), 062116] under the name "Minimal diffusion formulation of Markov chain ensembles". Additionally, two simpler variants of it. Called 2v1n and 1v1n formulations, were introduced by the same author [Physical Review E, 93(2), 022123]. By applying the minimal diffusion formulation to the gating dynamics which is in ion channel clusters and it was seen that the formulation accurately describes the excitability of neurons. On the other hand, the 2v1n and 1v1n formulations’ performance for the ion channel clusters are not examined. In this thesis, a study on the neural dynamics is performed using the 2v1n and 1v1n formulation. The study examined the accuracy of the formulation by numerical simulation. In doing so, the exact microscopic dynamic simulations of the ion channel cluster were taken as the reference point. en_US
dc.description.abstract ÖZ: Nöron uyarılmasını hücre zarında bulunan ve voltaj bağımlı geçirgenlik sergileyen iyon kanalları sağlar. İyon kanal dalgalanmaları küçük boyutlu hücre zarlarındaki voltaj farkı üzerinde hayati etki yapabilmektedir. Son yıllarda, toplu Markov zincir dinamiği üzerine “Minimal Markov zincir difüzyon formülasyonu” adı altında Güler, M. (2015) tarafından bir model ortaya konulmuştur [Physical Review E, 91(6), 062116]. Ayrıca, aynı yazar tarafından, bu modelin daha basit iki formulasyonu olan 2v1n and 1v1n adıyla bilinen varyasyonları ortaya konulmuştur [Physical Review E, 93(2), 022123]. Minimal difüzyon formülasyonu, iyon kanallarının dinamiğine uygulanmış ve hayli başarılı sonuçlar gözlenmiştir. Ancak, 2v1n and 1v1n formulasyonları, iyon kanallarının dinamiğine uygulanmamıştır. Bu tezde, iyon kanal dinamiği, 2v1n and 1v1n formulasyonları kullanarak sayısal olarak çalışılmıştır. Karşılaştırmalar, mikroscopik benzeşim sonuçları baz alınarak yapılmıştır. en_US
dc.language.iso eng en_US
dc.publisher Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ) en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Computer Engineering en_US
dc.subject Ion channels--Neural networks (Neurobiology) en_US
dc.subject Ion Channel en_US
dc.subject Channel Noise en_US
dc.subject Stochastic Hodgkin-Huxley en_US
dc.subject Markov chain en_US
dc.subject Minimal diffusion formulation en_US
dc.title A Study on the Ion Channel Dynamics Using the Minimal Diffusion Formulation Variants 2v1n and 1v1n en_US
dc.type masterThesis en_US
dc.contributor.department Eastern Mediterranean University, Faculty of Engineering, Dept. of Computer Engineering en_US


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