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Title: | An investigation of the coefficient of variation using the dissipative stochastic mechanics based neuron model |
Authors: | Naife, Sinan Hazim |
Keywords: | Computer Engineering Stochastic systems Speech processing systems Ion Channel Noise, Stochastic Ion Channels, Neuronal Dynamic, Hindmarsh-Rose Model, Dissipative Stochastic Mechanism Model |
Issue Date: | Aug-2013 |
Publisher: | Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ) |
Citation: | Naife, Sinan Hazim. (2013). An investigation of the coefficient of variation using the dissipative stochastic mechanics based neuron model. 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 shown experimentally that ion channel noise in neurons can have profound effects on the neuron’s dynamical behavior. Most profoundly, ion channel noise was seen to be able to cause spontaneous firing and stochastic resonance.
A physical approach for the description of neuronal dynamics under the influence of ion channel noise was proposed recently through the use of dissipative stochastic mechanics by Guler in a series of papers. He consequently introduced a computational neuron model incorporating channel noise. The most distinctive feature of the model is the presence of so-called the renormalization terms therein. This model exhibits experimentally compatible noise induced transitions among its dynamical states, and gives the rose-Hindmarash model of the neuron in the deterministic limit.
In this thesis, statistics of coefficient of variation will be investigated using the dissipative stochastic mechanics based neuron model.
Keywords: Ion Channel Noise, Stochastic Ion Channels, Neuronal Dynamic, Hindmarsh-Rose Model, Dissipative Stochastic Mechanism Model.
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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 kanal gürültüsü altındaki nöron dinamiği, fiziksel bir yaklaşım olan disipatif stokastik mekanik kullanarak Güler (2006, 2007, 2008) tarafından çalışılmış ve modellenmiştir. Sonsuz zar büyüklüğü limitinde Rose-Hindmarsh modeline dönüşen bu disipatif stokastik mekaniğe dayalı modelin en önemli özelliği renormalizasyon terimleri içermesidir. Bu tezde, Rose-Hindmarsh tipi zarlarda iyon kanal gürültüsü için geliştirilmiş olan yukarıdaki model kullanılarak ateşleme dinamiği üzerinden değişkenlik katsayısı hesaplamaları yapılmıştır.
Anahtar Kelimeler: İyon kanal gürültüsü, Stokastik iyon kanalları, Nöronal Dinamik, Rose-Hindmarsh Modeli, Disipatif stokastik mekanik modeli. |
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/11129/1343 |
Appears in Collections: | Theses (Master's and Ph.D) – Computer Engineering
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