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Analysis of Signal Propagation and Excitability in Computational Models of an Identified Drosophila Motoneuron

Abstract Cell morphology and the distribution of voltage gated ion channels play a major role in determining a neuron's firing behavior, resulting in the specific processing of spatiotemporal synaptic input patterns. Although many studies have provided insight into the computational properties arising from neuronal structure as well as from channel kinetics, no comprehensive theory exists which explains how the interaction of these features shapes neuronal excitability. In this study computational models based on the identified Drosophila motoneuron (MN) 5 are developed to investigate the role of voltage gated ion channels, the impact of their densities and the effects of structural features.

First, a spatially collapsed model is used to develo... (more)
Created Date 2014
Contributor Berger, Sandra Daniela (Author) / Crook, Sharon (Advisor) / Baer, Steven (Committee member) / Hamm, Thomas (Committee member) / Smith, Brian (Committee member) / Arizona State University (Publisher)
Subject Neurosciences / Biophysics / Physiology
Type Doctoral Dissertation
Extent 158 pages
Language English
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Neuroscience 2014
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis