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A New Neuron Ion Channel Model with Noisy Input Current

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

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Ion Channel; Noisy; Hodgkin-Huxley; Microscopic
Subjects: T Technology > T Technology (General)
Faculty/Division: Faculty of Engineering Technology
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 03 Nov 2015 06:09
Last Modified: 03 Oct 2018 07:32
URI: http://umpir.ump.edu.my/id/eprint/10628
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