Computational modeling of the rat hippocampus for improving neural stimulation

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Publication Type honors thesis
School or College College of Engineering
Department Electrical Engineering
Faculty Mentor Gianluca Lazzi
Creator Gilbert, Andrew
Title Computational modeling of the rat hippocampus for improving neural stimulation
Year graduated 2016
Date 2016-05
Description Neural prostheses are used to restore some level of function to tissue damaged by disease. It is important to model and correctly identify the relationship between electrical stimulation and neural response to provide a framework for prosthetic stimulation. This work will show a structure for conducting that analysis with several models and experi-mental setups presented. Specifically, a multi-scale modeling approach is employed where the admittance method is used to simulate the voltage distribution through the tissue and Neuron software is used to simulate the resulting cell response. Results will include an analysis of the effects of capacitance, heterogeneous resistivity, electrode depth, ephaptic coupling, and a presentation of a bi-directional communication simulation strategy between the admittance method and Neuron.
Type Text
Publisher University of Utah
Subject Neural stimulation - Research; Hippocampus (Brain) - Research; Memory - Research; Rats as laboratory animals - Research; Neural prosthetic
Language eng
Rights Management (c) Andrew Gilbert
Format Medium application/pdf
Format Extent 25,075 bytes
Identifier honors/id/32
Permissions Reference URL https://collections.lib.utah.edu/details?id=1256317
ARK ark:/87278/s6fz0kqn
Setname ir_htoa
Date Created 2016-06-27
Date Modified 2018-10-30
ID 205684
Reference URL https://collections.lib.utah.edu/ark:/87278/s6fz0kqn
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