Araştırma Makalesi
BibTex RIS Kaynak Göster

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

Yıl 2016, Cilt: 18 Sayı: 54, 596 - 605, 01.09.2016

Öz

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

Kaynakça

  • Kawaguchi Y, Wilson CJ, Augood SJ, Emson PC. Striatal Interneurones: Chemical, Physiological, and Morphological Characterization, Trends Neuroscience, 18, 1995, p.527– 535.
  • Deutch Y, Colbran RJ, and Winder DJ. Striatal Plasticity and Medium Spiny Neuron Dendritic Remodeling in Parkinsonism Ariel, Parkinsonism Relat Disord. 2007, p.251–258. [3] Hodgkin AL, Huxley AF. A Quantitative Descriptıon of Membrane Current and its Application To Conduction and Excitation in Nerve, J. Physiol. 117, 1957, p.500-544.
  • Batista C A S, Viana R L, Lopes S R, Batista A M. Dynamic Range In Small-World Networks Of Hodgkin–Huxley Neurons With Chemical Synapses. Physica A, 410, 2014, p.628–640.
  • McCarthy M M, Moore-Kochlacs C, Gub X, Boyden E S, Han X, and Kopell N. Striatal Origin of The Pathologic Beta Oscillations in Parkinson’s Disease. PNAS, 108(28), 2011, p.11620–11625.
  • Izhikevich EM. Simple Model of Spiking Neurons, IEEE Trans. Neural Networks, 14-6, 2003, p.1569-1572.
  • Izhikevich EM. Which Model to Use for Cortical Spiking Neurons? IEEE Transactions On Neural Networks, 2004, p.5-15.
  • Liu C, Wanga J, Yu H, Deng B, Wei X, Li H, Loparo KA. Fietkiewicz C. Dynamical Analysis of Parkinsonian State Emulated by Hybrid Izhikevich Neuron Models, Commun. Nonlinear Sci. Numerical Simulat. 28, 2015, p.10–26.
  • Terman D, Rubin JE, Yew AC Wilson CJ. Activity Patterns in A Model For The Subthalamopallidal Network of the Basal Ganglia, The Journal of Neuroscience, 22- 7, 2002, p.2963-2976.
  • Shen W, Hernandez-Lopez S, Tkatch T, Held J E, Surmeier D J. Kv1.2- Containing K Channels Regulate Subthreshold Excitability of Striatal Medium Spiny Neurons, J. Neurophysiol. 9-3, 2004, p.1337–1349.
  • Bolam JP, Hanley JJ, Booth PA. Bevan M. D., Synaptic Organisation of The Basal Ganglia, J. Anat., 196, 2000, p.527-542.
  • Ayling M, Panzeri S, Bracci E. GABAergic Excitation in Striatal Projection Neurons: Simulations and Experiments, Neurocomputing, 70, 2007, p.1870-1876.
  • Gerstner W, Kistler W. Spiking Neuron Models, Cambridge University press, 2006, Cambridge.
  • Denizdurduran B, Sengor NS. A Computational Model of Striatal Neural Microcircuit: How Dopamine Release Becomes Important To The Striatal Functions, 22nd Annual Computational Neuroscience Meeting 13-18 July 2013, Paris, France.
  • Kandel ER, Schwartz JH and Jessell TM. eds. Principles of neural science, New York: McGraw-Hill, 4, 2000, p.1227-1246.

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

Yıl 2016, Cilt: 18 Sayı: 54, 596 - 605, 01.09.2016

Öz

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

Kaynakça

  • Kawaguchi Y, Wilson CJ, Augood SJ, Emson PC. Striatal Interneurones: Chemical, Physiological, and Morphological Characterization, Trends Neuroscience, 18, 1995, p.527– 535.
  • Deutch Y, Colbran RJ, and Winder DJ. Striatal Plasticity and Medium Spiny Neuron Dendritic Remodeling in Parkinsonism Ariel, Parkinsonism Relat Disord. 2007, p.251–258. [3] Hodgkin AL, Huxley AF. A Quantitative Descriptıon of Membrane Current and its Application To Conduction and Excitation in Nerve, J. Physiol. 117, 1957, p.500-544.
  • Batista C A S, Viana R L, Lopes S R, Batista A M. Dynamic Range In Small-World Networks Of Hodgkin–Huxley Neurons With Chemical Synapses. Physica A, 410, 2014, p.628–640.
  • McCarthy M M, Moore-Kochlacs C, Gub X, Boyden E S, Han X, and Kopell N. Striatal Origin of The Pathologic Beta Oscillations in Parkinson’s Disease. PNAS, 108(28), 2011, p.11620–11625.
  • Izhikevich EM. Simple Model of Spiking Neurons, IEEE Trans. Neural Networks, 14-6, 2003, p.1569-1572.
  • Izhikevich EM. Which Model to Use for Cortical Spiking Neurons? IEEE Transactions On Neural Networks, 2004, p.5-15.
  • Liu C, Wanga J, Yu H, Deng B, Wei X, Li H, Loparo KA. Fietkiewicz C. Dynamical Analysis of Parkinsonian State Emulated by Hybrid Izhikevich Neuron Models, Commun. Nonlinear Sci. Numerical Simulat. 28, 2015, p.10–26.
  • Terman D, Rubin JE, Yew AC Wilson CJ. Activity Patterns in A Model For The Subthalamopallidal Network of the Basal Ganglia, The Journal of Neuroscience, 22- 7, 2002, p.2963-2976.
  • Shen W, Hernandez-Lopez S, Tkatch T, Held J E, Surmeier D J. Kv1.2- Containing K Channels Regulate Subthreshold Excitability of Striatal Medium Spiny Neurons, J. Neurophysiol. 9-3, 2004, p.1337–1349.
  • Bolam JP, Hanley JJ, Booth PA. Bevan M. D., Synaptic Organisation of The Basal Ganglia, J. Anat., 196, 2000, p.527-542.
  • Ayling M, Panzeri S, Bracci E. GABAergic Excitation in Striatal Projection Neurons: Simulations and Experiments, Neurocomputing, 70, 2007, p.1870-1876.
  • Gerstner W, Kistler W. Spiking Neuron Models, Cambridge University press, 2006, Cambridge.
  • Denizdurduran B, Sengor NS. A Computational Model of Striatal Neural Microcircuit: How Dopamine Release Becomes Important To The Striatal Functions, 22nd Annual Computational Neuroscience Meeting 13-18 July 2013, Paris, France.
  • Kandel ER, Schwartz JH and Jessell TM. eds. Principles of neural science, New York: McGraw-Hill, 4, 2000, p.1227-1246.
Toplam 14 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Diğer ID JA62BH88YV
Bölüm Araştırma Makalesi
Yazarlar

Yüksel Çakır

Yayımlanma Tarihi 1 Eylül 2016
Yayımlandığı Sayı Yıl 2016 Cilt: 18 Sayı: 54

Kaynak Göster

APA Çakır, Y. (2016). COMPARISION OF DYNAMIC BEHAVIORS OF STRIATAL POPULATION WITH TWO DIFFERENT NEURON MODELS: HODGKIN-HUXLEY AND IZHIKEVICH. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen Ve Mühendislik Dergisi, 18(54), 596-605.
AMA Çakır Y. COMPARISION OF DYNAMIC BEHAVIORS OF STRIATAL POPULATION WITH TWO DIFFERENT NEURON MODELS: HODGKIN-HUXLEY AND IZHIKEVICH. DEUFMD. Eylül 2016;18(54):596-605.
Chicago Çakır, Yüksel. “COMPARISION OF DYNAMIC BEHAVIORS OF STRIATAL POPULATION WITH TWO DIFFERENT NEURON MODELS: HODGKIN-HUXLEY AND IZHIKEVICH”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen Ve Mühendislik Dergisi 18, sy. 54 (Eylül 2016): 596-605.
EndNote Çakır Y (01 Eylül 2016) COMPARISION OF DYNAMIC BEHAVIORS OF STRIATAL POPULATION WITH TWO DIFFERENT NEURON MODELS: HODGKIN-HUXLEY AND IZHIKEVICH. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 18 54 596–605.
IEEE Y. Çakır, “COMPARISION OF DYNAMIC BEHAVIORS OF STRIATAL POPULATION WITH TWO DIFFERENT NEURON MODELS: HODGKIN-HUXLEY AND IZHIKEVICH”, DEUFMD, c. 18, sy. 54, ss. 596–605, 2016.
ISNAD Çakır, Yüksel. “COMPARISION OF DYNAMIC BEHAVIORS OF STRIATAL POPULATION WITH TWO DIFFERENT NEURON MODELS: HODGKIN-HUXLEY AND IZHIKEVICH”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 18/54 (Eylül 2016), 596-605.
JAMA Çakır Y. COMPARISION OF DYNAMIC BEHAVIORS OF STRIATAL POPULATION WITH TWO DIFFERENT NEURON MODELS: HODGKIN-HUXLEY AND IZHIKEVICH. DEUFMD. 2016;18:596–605.
MLA Çakır, Yüksel. “COMPARISION OF DYNAMIC BEHAVIORS OF STRIATAL POPULATION WITH TWO DIFFERENT NEURON MODELS: HODGKIN-HUXLEY AND IZHIKEVICH”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen Ve Mühendislik Dergisi, c. 18, sy. 54, 2016, ss. 596-05.
Vancouver Çakır Y. COMPARISION OF DYNAMIC BEHAVIORS OF STRIATAL POPULATION WITH TWO DIFFERENT NEURON MODELS: HODGKIN-HUXLEY AND IZHIKEVICH. DEUFMD. 2016;18(54):596-605.

Dokuz Eylül Üniversitesi, Mühendislik Fakültesi Dekanlığı Tınaztepe Yerleşkesi, Adatepe Mah. Doğuş Cad. No: 207-I / 35390 Buca-İZMİR.