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Title: Modelling extracellular electrical stimulation: part 4. Effect of the cellular composition of neural tissue on its spatio-temporal filtering properties
Authors: Tahayori, Bahman
Meffin, Hamish
Sergeev, Evgeni
Mareels, Iven
Burkitt, Anthony
Grayden, David
Keywords: electrical stimulation
composite model
volume conductor
near-field approximation
far-field approximation
Issue Date: Nov-2014
Publisher: IOP Publishing
Citation: Tahayori, B., H. Meffin, E. N. Sergeev, I. M. Y. Mareels, A. N. Burkitt and D. B. Grayden (2014). Modelling extracellular electrical stimulation: part 4. Effect of the cellular composition of neural tissue on its spatio-temporal filtering properties. Journal of Neural Engineering 11(6): 1-21.
Abstract: OBJECTIVE: The objective of this paper is to present a concrete application of the cellular composite model for calculating the membrane potential, described in an accompanying paper. APPROACH: A composite model that is used to determine the membrane potential for both longitudinal and transverse modes of stimulation is demonstrated. MAIN RESULTS: Two extreme limits of the model, near-field and far-field for an electrode close to or distant from a neuron, respectively, are derived in this paper. Results for typical neural tissue are compared using the composite, near-field and far-field models as well as the standard isotropic volume conductor model. The self-consistency of the composite model, its spatial profile response and the extracellular potential time behaviour are presented. The magnitudes of the longitudinal and transverse components for different values of electrode-neurite separations are compared. SIGNIFICANCE: The unique features of the composite model and its simplified versions can be used to accurately estimate the spatio-temporal response of neural tissue to extracellular electrical stimulation.
URI: http://repository.bionicsinstitute.org:8080/handle/123456789/143
Appears in Collections:Bionic Vision Research Publications

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