A New Neuron Ion Channel Model with Noisy Input Current

The data processing fundamental problem affects all aspects of nervous-system function by the noise of ion channels. The conducting and non conducting of ion channels depends on random transitions of channel noise, which affect the states of several numbers of gates in every single individual ion ch...

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Main Authors: Khudhur, Ahmed Mahmood, Abdalla, Ahmed N.
Format: Article
Language:English
Published: Penerbit Universiti Malaysia Pahang 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/10628/1/A%20New%20Neuron%20Ion%20Channel%20Model%20with%20Noisy%20Input%20Current.pdf
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author Khudhur, Ahmed Mahmood
Abdalla, Ahmed N.
author_facet Khudhur, Ahmed Mahmood
Abdalla, Ahmed N.
author_sort Khudhur, Ahmed Mahmood
collection UMP
description The data processing fundamental problem affects all aspects of nervous-system function by the noise of ion channels. The conducting and non conducting of ion channels depends on random transitions of channel noise, which affect the states of several numbers of gates in every single individual ion channel. This paper, introduce a new ion channel model in the neuron with noisy input current as approximations of the HH model. It briefly introduces the ion channel based on stochastic Hodgkin-Huxley model. The method is able to fully constrain the HH model and obtain all models capable of reproducing the data. Therefore, this method overcomes the limitations of other parameter estimation methods. The stochastic Markov process method is simply applied to simulate each gate individually to determine the relationship between channel noise and the spike frequency.
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spelling UMPir106282018-10-03T07:32:51Z http://umpir.ump.edu.my/id/eprint/10628/ A New Neuron Ion Channel Model with Noisy Input Current Khudhur, Ahmed Mahmood Abdalla, Ahmed N. T Technology (General) The data processing fundamental problem affects all aspects of nervous-system function by the noise of ion channels. The conducting and non conducting of ion channels depends on random transitions of channel noise, which affect the states of several numbers of gates in every single individual ion channel. This paper, introduce a new ion channel model in the neuron with noisy input current as approximations of the HH model. It briefly introduces the ion channel based on stochastic Hodgkin-Huxley model. The method is able to fully constrain the HH model and obtain all models capable of reproducing the data. Therefore, this method overcomes the limitations of other parameter estimation methods. The stochastic Markov process method is simply applied to simulate each gate individually to determine the relationship between channel noise and the spike frequency. Penerbit Universiti Malaysia Pahang 2015 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/10628/1/A%20New%20Neuron%20Ion%20Channel%20Model%20with%20Noisy%20Input%20Current.pdf Khudhur, Ahmed Mahmood and Abdalla, Ahmed N. (2015) A New Neuron Ion Channel Model with Noisy Input Current. International Journal of Engineering Technology And Sciences (IJETS), 3 (1). pp. 1-7. ISSN 2289-697X. (Published) http://ijets.ump.edu.my/images/archive/Vol3-new/5.pdf DOI: 10.15282/ijets.3.2015.1.5.1022
spellingShingle T Technology (General)
Khudhur, Ahmed Mahmood
Abdalla, Ahmed N.
A New Neuron Ion Channel Model with Noisy Input Current
title A New Neuron Ion Channel Model with Noisy Input Current
title_full A New Neuron Ion Channel Model with Noisy Input Current
title_fullStr A New Neuron Ion Channel Model with Noisy Input Current
title_full_unstemmed A New Neuron Ion Channel Model with Noisy Input Current
title_short A New Neuron Ion Channel Model with Noisy Input Current
title_sort new neuron ion channel model with noisy input current
topic T Technology (General)
url http://umpir.ump.edu.my/id/eprint/10628/1/A%20New%20Neuron%20Ion%20Channel%20Model%20with%20Noisy%20Input%20Current.pdf
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