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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Penerbit Universiti Malaysia Pahang
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ump-106282018-10-03T07:32:51Z 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 http://ijets.ump.edu.my/images/archive/Vol3-new/5.pdf DOI: 10.15282/ijets.3.2015.1.5.1022 |
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T Technology (General) Khudhur, Ahmed Mahmood Abdalla, Ahmed N. A New Neuron Ion Channel Model with Noisy Input Current |
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. |
format |
Article |
author |
Khudhur, Ahmed Mahmood Abdalla, Ahmed N. |
author_facet |
Khudhur, Ahmed Mahmood Abdalla, Ahmed N. |
author_sort |
Khudhur, Ahmed Mahmood |
title |
A New Neuron Ion Channel Model with Noisy Input Current |
title_short |
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_sort |
new neuron ion channel model with noisy input current |
publisher |
Penerbit Universiti Malaysia Pahang |
publishDate |
2015 |
url |
http://umpir.ump.edu.my/id/eprint/10628/ http://umpir.ump.edu.my/id/eprint/10628/ http://umpir.ump.edu.my/id/eprint/10628/ http://umpir.ump.edu.my/id/eprint/10628/1/A%20New%20Neuron%20Ion%20Channel%20Model%20with%20Noisy%20Input%20Current.pdf |
first_indexed |
2023-09-18T22:10:26Z |
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2023-09-18T22:10:26Z |
_version_ |
1777414991207464960 |