Simulation of neural behavior

The brain is an organ that takes the central role in advanced information processing. There exist great many neurons in our brain, which build complicated neural networks. All information processing in the brain is accomplished by neural activity in the form of neural oscillations. In order to under...

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Main Authors:	Kitajima, Tatsuo, Feng, Zonggang, Azhim, Azran
Format:	Book Chapter
Language:	English
Published:	InTech 2016
Subjects:	QP Physiology
Online Access:	http://irep.iium.edu.my/52450/ http://irep.iium.edu.my/52450/ http://irep.iium.edu.my/52450/ http://irep.iium.edu.my/52450/17/52450.pdf

id	iium-52450
recordtype	eprints
spelling	iium-524502016-11-30T08:37:44Z http://irep.iium.edu.my/52450/ Simulation of neural behavior Kitajima, Tatsuo Feng, Zonggang Azhim, Azran QP Physiology The brain is an organ that takes the central role in advanced information processing. There exist great many neurons in our brain, which build complicated neural networks. All information processing in the brain is accomplished by neural activity in the form of neural oscillations. In order to understand the mechanisms of information processing, it is necessary to clarify functions of neurons and neural networks. Although the current progress of experiment technology is remarkable, only experiments by themselves cannot uncover the behavior of only a single neuron. Computational neuroscience is a research field, which fills up the deficiency in experiments. By modeling the essential features of a neuron or a neural network, we can analyze their fundamental properties by computer simulation. In this chapter, one aspect of computational neuroscience is described. At the first, the cell membrane and a neuron can be modeled by using an RC circuit. Next, the Hodgkin-Huxley model is introduced, which has the function of generation of action potentials. Furthermore, many neurons show the subthreshold resonance phenomena, and the cell membrane is necessary to be modeled by an RLC circuit. Finally, some simulation results are shown, and properties of such neuronal behaviors are discussed. InTech 2016-08-24 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/52450/17/52450.pdf Kitajima, Tatsuo and Feng, Zonggang and Azhim, Azran (2016) Simulation of neural behavior. In: Numerical Simulation - From Brain Imaging to Turbulent Flows. InTech, pp. 51-74. ISBN 978-953-51-2564-8 http://www.intechopen.com/books/numerical-simulation-from-brain-imaging-to-turbulent-flows/simulation-of-neural-behavior 10.5772/64028
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QP Physiology
spellingShingle	QP Physiology Kitajima, Tatsuo Feng, Zonggang Azhim, Azran Simulation of neural behavior
description	The brain is an organ that takes the central role in advanced information processing. There exist great many neurons in our brain, which build complicated neural networks. All information processing in the brain is accomplished by neural activity in the form of neural oscillations. In order to understand the mechanisms of information processing, it is necessary to clarify functions of neurons and neural networks. Although the current progress of experiment technology is remarkable, only experiments by themselves cannot uncover the behavior of only a single neuron. Computational neuroscience is a research field, which fills up the deficiency in experiments. By modeling the essential features of a neuron or a neural network, we can analyze their fundamental properties by computer simulation. In this chapter, one aspect of computational neuroscience is described. At the first, the cell membrane and a neuron can be modeled by using an RC circuit. Next, the Hodgkin-Huxley model is introduced, which has the function of generation of action potentials. Furthermore, many neurons show the subthreshold resonance phenomena, and the cell membrane is necessary to be modeled by an RLC circuit. Finally, some simulation results are shown, and properties of such neuronal behaviors are discussed.
format	Book Chapter
author	Kitajima, Tatsuo Feng, Zonggang Azhim, Azran
author_facet	Kitajima, Tatsuo Feng, Zonggang Azhim, Azran
author_sort	Kitajima, Tatsuo
title	Simulation of neural behavior
title_short	Simulation of neural behavior
title_full	Simulation of neural behavior
title_fullStr	Simulation of neural behavior
title_full_unstemmed	Simulation of neural behavior
title_sort	simulation of neural behavior
publisher	InTech
publishDate	2016
url	http://irep.iium.edu.my/52450/ http://irep.iium.edu.my/52450/ http://irep.iium.edu.my/52450/ http://irep.iium.edu.my/52450/17/52450.pdf
first_indexed	2023-09-18T21:14:20Z
last_indexed	2023-09-18T21:14:20Z
_version_	1777411461388173312

Simulation of neural behavior

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