A Comparative Study on ‘The Colored Stochastic HH Equations’ and ‘The Minimal Diffusion Formulation’

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dc.contributor.advisor Marifi, Güler
dc.contributor.author Mirghafouri, Seyed Mohsen
dc.date.accessioned 2020-11-26T12:32:00Z
dc.date.available 2020-11-26T12:32:00Z
dc.date.issued 2017-09
dc.date.submitted 2017
dc.identifier.citation Mirghafouri, Seyed Mohsen. (2017). A Comparative Study on ‘The Colored Stochastic HH Equations’ and ‘The Minimal Diffusion Formulation’. Thesis (M.S.), Eastern Mediterranean University, Institute of Graduate Studies and Research, Department of Computer Engineering, Famagusta: North Cyprus. en_US
dc.identifier.uri http://hdl.handle.net/11129/4762
dc.description Master of Science in Computer Engineering. Thesis (M.S.)--Eastern Mediterranean University, Faculty of Engineering, Department of Computer Engineering, 2017. Supervisor: Prof. Dr. Marifi Güler. en_US
dc.description.abstract The voltage-gated ion-channels within the membranes facilitate the excitability of neurons. These channels accommodate a multiple number of gates individually. The number of open channels fluctuates with profound effects on the transmembrane voltage activity in small-size excitable membrane patches. Two recent models that can capture the collective dynamics of ion channels in excitable membranes are: 1.) The colored stochastic Hodgkin-Huxley equations [1] 2.) The minimal diffusion formulation of Markov chain ensembles [2] In this thesis, a comparative study on these two models was performed by numerical simulations. The statistics of the mean inter-spike interval (ISI), coefficient of variation and spike latency were used in the investigation. The obtained results are useful for better understanding of the efficiency of these models. Computation times of the models were also investigated. Our study shows that the Minimal Diffusion model generally yields more accurate results than the already satisfactory Colored Noise model. To determine the accuracy of the models, the model results are assessed with reference to the corresponding Microscopic Simulation (Monte Carlo) model results. Our simulations confirm that the Minimal Diffusion model requires less computation time than the Colored Noise model. Our findings indicate that the Minimal Diffusion model should be preferred to the Colored Noise model. Keywords: Ion channel, Channel noise, Colored noise, Stochastic Hodgkin-Huxley, Markov Chain, Minimal diffusion formulation en_US
dc.description.abstract ÖZ: Hücre zarında bulunan ve voltaj bağımlı geçirgenlik sergileyen iyon kanalları nöron uyarılmasını sağlar. Her kanal birden fazla geçit içerir. Açık kanal sayısı zaman içinde gürültülü ve dalgalı bir görünüm sergiler ve bu davranış küçük boyutlu nöron dinamiği üzerinde hayati etki yapabilmektedir. Son yıllarda, toplu nöron dinamiği üzerine ortaya konulan iki model şöyledir: 1.) Renklendirilmiş stokastik Hodgkin-Huxley denklemleri [1] 2.) Minimal difüzyon Markov zincir formülasyonu [2] Bu tezde, yukarıdaki iki model sayısal benzeşim yöntemiyle karşılaştırmalı olarak çalışılmıştır. Ortalama ateşleme aralığı (ISI), varyasyon katsayısı ve gecikme istatistikleri incelenmiştir. Ayrıca, iki modelinde hesaplama zamanı gereksinimleri ortaya konmuştur. Çalışmamız, Minimal difüzyon Markov zincir formülasyonu’nun Renklendirilmiş stokastik Hodgkin-Huxley denklemlerine göre daha iyi sonuçlar verdiğini göstermiştir. Karşılaştırmalar, mikroscopik benzeşim sonuçları baz alınarak yapılmıştır. Anahtar Kelimeler: İyon kanalı, Kanal gürültüsü, Renkli gürültü, Stokastik Hodgkin- Huxley, Markov zinciri, Minimal difüzyon formülasyonu 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 channel en_US
dc.subject Channel noise en_US
dc.subject Colored 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 Comparative Study on ‘The Colored Stochastic HH Equations’ and ‘The Minimal Diffusion Formulation’ en_US
dc.type masterThesis en_US
dc.contributor.department Faculty of Engineering, Department of Computer Engineering en_US


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