Nonlinear response of functional magnetic resonance imaging

The objective of this research exercise is to analyze and study the nonlinearity present in fMRI response and to propose a nonlinear temporal model for modeling the fMRI response. This is achieved by approximating the fMRI time-series signals obtained from activated regions of subjects performing va...

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Main Author: Vinod Venkatraman
Other Authors: Rajapakse, Jagath C.
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/2514
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-25142023-03-04T00:32:24Z Nonlinear response of functional magnetic resonance imaging Vinod Venkatraman Rajapakse, Jagath C. School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences The objective of this research exercise is to analyze and study the nonlinearity present in fMRI response and to propose a nonlinear temporal model for modeling the fMRI response. This is achieved by approximating the fMRI time-series signals obtained from activated regions of subjects performing various experiments, using data-driven neural networks. Master of Engineering (SCE) 2008-09-17T09:04:36Z 2008-09-17T09:04:36Z 2002 2002 Thesis http://hdl.handle.net/10356/2514 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Vinod Venkatraman
Nonlinear response of functional magnetic resonance imaging
description The objective of this research exercise is to analyze and study the nonlinearity present in fMRI response and to propose a nonlinear temporal model for modeling the fMRI response. This is achieved by approximating the fMRI time-series signals obtained from activated regions of subjects performing various experiments, using data-driven neural networks.
author2 Rajapakse, Jagath C.
author_facet Rajapakse, Jagath C.
Vinod Venkatraman
format Theses and Dissertations
author Vinod Venkatraman
author_sort Vinod Venkatraman
title Nonlinear response of functional magnetic resonance imaging
title_short Nonlinear response of functional magnetic resonance imaging
title_full Nonlinear response of functional magnetic resonance imaging
title_fullStr Nonlinear response of functional magnetic resonance imaging
title_full_unstemmed Nonlinear response of functional magnetic resonance imaging
title_sort nonlinear response of functional magnetic resonance imaging
publishDate 2008
url http://hdl.handle.net/10356/2514
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