Phase lagging model of brain response to external stimuli—modeling of single action potential

In this paper we detail a phase lagging model of brain response to external stimuli. The model is derived using the basic laws of physics like conservation of energy law. This model eliminates the paradox of instantaneous propagation of the action potential in the brain. The solution of this model i...

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Main Authors: Seetharaman, Karthik., Namazi, Hamidreza., Kulsih, Vladimir V.
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/85667
http://hdl.handle.net/10220/13127
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-856672020-03-07T13:19:25Z Phase lagging model of brain response to external stimuli—modeling of single action potential Seetharaman, Karthik. Namazi, Hamidreza. Kulsih, Vladimir V. School of Mechanical and Aerospace Engineering In this paper we detail a phase lagging model of brain response to external stimuli. The model is derived using the basic laws of physics like conservation of energy law. This model eliminates the paradox of instantaneous propagation of the action potential in the brain. The solution of this model is then presented. The model is further applied in the case of a single neuron and is verified by simulating a single action potential. The results of this modeling are useful not only for the fundamental understanding of single action potential generation, but also they can be applied in case of neuronal interactions, where the results can be verified against the real EEG signal. 2013-08-15T07:56:42Z 2019-12-06T16:08:04Z 2013-08-15T07:56:42Z 2019-12-06T16:08:04Z 2012 2012 Journal Article Seetharaman, K., Namazi, H.,& Kulsih, V. V. (2012). Phase lagging model of brain response to external stimuli—modeling of single action potential. Computers in Biology and Medicine, 42(8), 857-862. 0010-4825 https://hdl.handle.net/10356/85667 http://hdl.handle.net/10220/13127 10.1016/j.compbiomed.2012.06.009 en Computers in biology and medicine
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
description In this paper we detail a phase lagging model of brain response to external stimuli. The model is derived using the basic laws of physics like conservation of energy law. This model eliminates the paradox of instantaneous propagation of the action potential in the brain. The solution of this model is then presented. The model is further applied in the case of a single neuron and is verified by simulating a single action potential. The results of this modeling are useful not only for the fundamental understanding of single action potential generation, but also they can be applied in case of neuronal interactions, where the results can be verified against the real EEG signal.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Seetharaman, Karthik.
Namazi, Hamidreza.
Kulsih, Vladimir V.
format Article
author Seetharaman, Karthik.
Namazi, Hamidreza.
Kulsih, Vladimir V.
spellingShingle Seetharaman, Karthik.
Namazi, Hamidreza.
Kulsih, Vladimir V.
Phase lagging model of brain response to external stimuli—modeling of single action potential
author_sort Seetharaman, Karthik.
title Phase lagging model of brain response to external stimuli—modeling of single action potential
title_short Phase lagging model of brain response to external stimuli—modeling of single action potential
title_full Phase lagging model of brain response to external stimuli—modeling of single action potential
title_fullStr Phase lagging model of brain response to external stimuli—modeling of single action potential
title_full_unstemmed Phase lagging model of brain response to external stimuli—modeling of single action potential
title_sort phase lagging model of brain response to external stimuli—modeling of single action potential
publishDate 2013
url https://hdl.handle.net/10356/85667
http://hdl.handle.net/10220/13127
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