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Please use this identifier to cite or link to this item: http://hdl.handle.net/11129/1500

Title: A comparative study on the fox and lu equations versus the colored stochastic hodgkin - Huxley equations
Authors: Alobaidi, Liwaa Hussein
Keywords: Computer Engineering
Stochastic Systems
Channel Gate, Ion Channel, Small Size Membrane, Channel Noise, Stochastic Hodgkin - Huxley Equations
Issue Date: Aug-2013
Publisher: Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ)
Citation: Alobaidi, Liwaa Hussein. (2013). A comparative study on the fox and lu equations versus the colored stochastic hodgkin - Huxley equations. Thesis (M.S.), Eastern Mediterranean University, Institute of Graduate Studies and Research, Dept. of Computer Engineering, Famagusta: North Cyprus.
Abstract: ABSTRACT: In recent years, it has been argued and experimentally shown that ion channel noise in neurons can cause fundamental effects on the neuron’s dynamical behavior. Most profoundly, ion channel noise was seen to be able to cause spontaneous firing and stochastic resonance. It was recently found by Güler (2011) that a non-trivially persistent cross correlation regarding position among the trans-membrane voltage fluctuations, and the element of open channel fluctuations is attributed to gate multiplicity. This non-trivial phenomenon was found to play an essential role in the elevation of excitability and spontaneous firing in the small size cell. Furthermore, the phenomenon was found to significantly enhance the spike coherence. More recently, the effect of the above cross correlation persistency was modeled by the same author Güler (2013), through inserting some colored noise terms inside the conductance's in the stochastic Hodgkin Huxley equation. In this thesis, the broadly used stochastic of Hodgkin-Huxley equation, proposed by Fox and Lu, and the colored stochastic Hodgkin-Huxley equation, proposed by Güler recently, will be investigated in a comparative manner. The performance analysis of the two models will be performed with respect to the microscopic Markovain channel simulations. The statistic will be obtained using different membrane size and different input current values. Our investigation reveals that the performance of the Güler model is more effective than the Fox and Lu equations and gives better agreement with the microscopic simulation results. Keywords: Channel Gate, Ion Channel, Small Size Membrane, Channel Noise, Stochastic Hodgkin-Huxley Equations. ………………………………………………………………………………………………………………………… ÖZ: Son yıllarda, nöronlardaki ion kanal gürültüsünün nöron dinamiği üzerinde hayati etki yapabildiği deneysel olarak da kanıtlanmıştır. Bu kapsamda, kendi kendine ateşleme ve stokastik rezonans en çarpıcı bulgulardır. İyon kanallarında çoklu geçit bulunmasının, voltage dalgalanmaları ve açık kanal dalgalanmaları arasında ilk bakışta gözükmeyen bir daimi çapraz ilişkiye neden olduğu Güler (2011) tarafından ortaya çıkartılmıştır. Bu ilk bakışta gözükmeyen olgunun, küçük boyutlu hücrelerde yüksek uyarılma ve kendi kendine ateşlemeye neden olduğu bulunmuştur. Bu olgunun ateşlemede uyum artışı sağladığıda gözlenmiştir. Daha yakın zamanda, daimi çapraz ilişki, Hodgkin-Huxley denklemlerinde geçirgenliklere renkli gürültü terimleri ekleyerek modellenmiştir (Güler, 2013). Bu tezde, yaygın olarak kullanılan Fox ve Lu’nun stokastik Hodgkin-Huxley denklemleri ve yukarıdaki renklendirilmiş stokastik Hodgkin-Huxley denklemleri karşılaştırmalı olarak incelenmiştir. Mikroskopik Markov benzeşim sonuçları referans alındığında, Güler modeli bulgularının Fox ve Lu bulgularından daha uyumlu olduğu gözlenmiştir. Anahtar Kelimeler: Renkli Gürültü, Kanal Geçiti, İyon Kanalı, Küçük Boyutlu Zar, Kanal Gürültüsü, Stokastik Hodgkin-Huxley Denklemleri.
Description: Master of Science in Computer Engineering. Thesis (M.S.)--Eastern Mediterranean University, Faculty of Engineering, Dept. of Computer Engineering, 2013. Supervisor: Prof. Dr. Marifi Güler.
URI: http://hdl.handle.net/11129/1500
Appears in Collections:Theses (Master's and Ph.D) – Computer Engineering

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