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A model study of the neural interaction via mutual coupling factor identification

Sepulveda, FA and Zhang, Q (2017) A model study of the neural interaction via mutual coupling factor identification. In: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017, 2017-07-11 - 2017-07-15, Seogwipo, South Korea.

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Abstract

In this paper, an extension of the Hodgkin-Huxley model has been presented to describe the interaction between the nerve fibres. Based on the equivalent electrical circuit, the conductance per unit area between two coupled axons has been introduced as the pairwise coupling factors. Based on the measurement of the membrane potential, these coupling factors can be estimated by linearised identification methods. Therefore, the axon-to-axon interaction can be characterized, which improves the accuracy of the models. Comparing with the simulation studies of the mechanistic model, the presented model is more convenient to be analyzed while the computational complexity has been reduced. Using the presented description, the simulation results indicate that the presented model and the analysis strategy are effective.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: _not provided_
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 20 Nov 2017 15:22
Last Modified: 15 Nov 2018 19:25
URI: http://repository.essex.ac.uk/id/eprint/20695

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