Information Services banner Edinburgh Research Archive The University of Edinburgh crest

Edinburgh Research Archive >
Informatics, School of >
Informatics thesis and dissertation collection >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/3079

This item has been viewed 49 times in the last year. View Statistics

Files in This Item:

File Description SizeFormat
O'Leary T PhD thesis 08.pdf5.4 MBAdobe PDFView/Open
Title: Homeostatic Regulation of Intrinsic Excitability in Hippocampal Neurons
Authors: O'Leary, Timothy S
Supervisor(s): van Rossum, Mark
Wyllie, David J A
Issue Date: 2008
Abstract: The proper functioning of nervous systems requires electrical activity to be tightly regulated. Perturbations in the intrinsic properties of neurons, and in excitatory input, are imposed throughout nervous system development as cell morphology and network activity evolve. In mature nervous systems these changes continue as a result of synaptic plasticity and external stimuli. It is therefore likely that homeostatic mechanisms exist to regulate membrane conductances that determine the excitability of individual neurons, and several mechanisms have been characterised to date. This thesis characterises a novel in vitro model for homeostatic control of intrinsic excitability. The principal finding is that cultured hippocampal neurons respond to chronic depolarisation over a period of days by attenuating their response to injected current. This effect was found to depend on the level of depolarisation and the length of treatment, and is accompanied by changes in both active and passive membrane conductances. In addition, the effect is reversible and dependent on L-type calcium channel activity. Using experimental data to parameterise a conductance-based computer model suggests that the changes in conductance properties account for the observed differences in excitability.
Description: Informatics Life-Sciences Institute
Keywords: Informatics
Neuroinformatics
Computational Neuroscience
Neuroscience
URI: http://hdl.handle.net/1842/3079
Appears in Collections:Informatics thesis and dissertation collection

Items in ERA are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! Unless explicitly stated otherwise, all material is copyright © The University of Edinburgh 2013, and/or the original authors. Privacy and Cookies Policy