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.