You are not logged in.
Openly accessible

Model based analysis of fMRI/EEG data

Hettiarachchi, Imali 2013, Model based analysis of fMRI/EEG data, Ph.D thesis, Centre for Intelligent Systems Research, Deakin University.

Attached Files
Name Description MIMEType Size Downloads
hettiarachchi-modelbased-2013A.pdf Connect to thesis application/pdf 25.15MB 2591

Title Model based analysis of fMRI/EEG data
Author Hettiarachchi, ImaliORCID iD for Hettiarachchi, Imali orcid.org/0000-0002-4220-0970
Institution Deakin University
School Centre for Intelligent Systems Research
Faculty Office of the Deputy Vice Chancellor (Research)
Degree type Research doctorate
Degree name Ph.D
Thesis advisor Nahavandi, Saeid
Mohamed, ShadyORCID iD for Mohamed, Shady orcid.org/0000-0002-8851-1635
Date submitted 2013-07
Keyword(s) Neuroscience
fMRI data
EEG data
Time series analysis
Granger causality-based effective connectivity analysis
Summary This thesis addresses two major topics in neuroscience literature and drawbacks from existing literature are addressed by utilising state space models and Bayesian estimation techniques. Particle filter-based joint estimation of the physiological model for time-series analysis of fMRI data is demonstrated first in the thesis and secondly the Granger causality-based effective connectivity analysis of EEG data is investigated.
Language eng
Field of Research 090399 Biomedical Engineering not elsewhere classified
110999 Neurosciences not elsewhere classified
090609 Signal Processing
Socio Economic Objective 970109 Expanding Knowledge in Engineering
Description of original xxxvi, 186 pages : illustrations, graphs, coloured
Copyright notice ┬ęThe Author. All Rights Reserved
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30063024

Document type: Thesis
Collections: Higher degree theses (full text)
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 106 Abstract Views, 2594 File Downloads  -  Detailed Statistics
Created: Thu, 08 May 2014, 16:28:25 EST by Belinda Lee

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.