COMPARISION OF DYNAMIC BEHAVIORS OF STRIATAL POPULATION WITH TWO DIFFERENT NEURON MODELS: HODGKIN-HUXLEY AND IZHIKEVICH

Abstract

In computational neuroscience, using the tools of dynamical systems theory and modeling the behaviors of neural system is an important issue in order to investigate the mechanisms underlying for neurological disorders and diseases such as Parkinson’s and Huntington Disease. In this work, the dynamic behavior of striatal population is investigated using two different scale neuron models: Izhikevich neuron model and Hodgkin-Huxley type model. In the modeling, the influences of network organization are investigated as well. Two different network architectures are used. For all these investigations in-house built MATLAB codes are used. It is shown that Izhikevich neuron model can be used to model the dynamic behavior of striatal neuron populations, with a much simplier representation than conductance-based HH neurons

Keywords

• striatal, Hodgkin-Huxley type model, Izhikevich neuron model

STRİATAL SİNİR HÜCRELERİN DİNAMİK DAVRANIŞININ İKİ FAKLI NÖRON MODELİ -HODGKIN-HUGLEY VE IZHIKEVICH- İLE KARŞILAŞTIRMASI

Abstract

Hesaplamalı sinirbilimde, Parkinson ve Huntington hastalığı gibi nörolojik bozukluklar ve hastalıkların altında yatan mekanizmaları araştırmak amacıyla, dinamik sistem teorilerinin kullanımı ve nöral sistem davranışlarının modellenmesi son derecede önemlidir. Bu nedenle, bu çalışmada, striatal nöral yapıların dinamik davranışlarını modellemek üzere iki farklı ölçekteki nöron modelleri kullanılmıştır. Bular Izhikevich nöron modeli ve Hodgkin-Huxley modelidir. Modellemede, ağ yapılarının etkisi iki farklı yapı için incelenmiştir. Simulasyonlar MATLAB de yazılan kodlar sayesinde gerçekleştirilmiştir. Daha basit bir yapıya sahip olan Izhikevich nöron modelinin striatal nöronlarının dinamik davranışını modellemek için daha uygun olduğu ortaya konulmuştur

Keywords

• striatum, Hodgkin-Huxley modeli, Izhikevich nöron modeli

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