Computational models of stochastic variability in the auditory nerve and electromyography recordings induced by transcranial magnetic stimulation /
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(Published version)
Date
2017
Authors
Moezzi, Bahar,
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Type:
thesis
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Abstract
Nervous systems are extraordinarily complex. This complexity gives rise to their ability to sense and process information and survive in the world. The down side of this complexity is that many disorders such as Alzheimer’s disease, multiple sclerosis, depression,schizophrenia, stroke and problems with hearing and vision can arise. One of the techniques used in studying both healthy and diseased nervous systems is computational modeling (Dayan and Abbott; 2001). In this thesis, we have studied two topics in which computational modeling may help in the treatment or diagnosis of neural disorders and for understanding their underlying causes.
School/Discipline
University of South Australia. School of Information Technology and Mathematical Sciences.
School of Information Technology and Mathematical Sciences.
School of Information Technology and Mathematical Sciences.
Dissertation Note
Thesis (PhD(Computer and Information Science))--University of South Australia, 2017.
Provenance
Copyright 2016 Bahar Moezzi.
Description
1 ethesis (xxii, 120 pages) :
illustrations
Includes bibliographical references (pages 103-118)
illustrations
Includes bibliographical references (pages 103-118)
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506 0#$fstar $2Unrestricted online access