Jump to ContentJump to Main Navigation

You are looking at 1-8 of 8 items

  • Keywords: independent component analysis x
Clear All Modify Search

View:

Using ICA for the Analysis of fMRI Data

Giancarlo Valente, Fabrizio Esposito, Federico de Martino, Rainer Goebel, and Elia Formisano

in Simultaneous EEG and fMRI: Recording, Analysis, and Application

Published in print:
2010
Published Online:
May 2010
ISBN:
9780195372731
eISBN:
9780199776283
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195372731.003.0009
Subject:
Neuroscience, Techniques

This chapter examines the most relevant aspects concerning the use of independent component analysis (ICA) for the analysis of functional magnetic resonance imaging (fMRI) data. In particular, after ... More


Fusion of EEG and fMRI by Parallel Group ICA

Vince D. Calhoun and Tom Eichele

in Simultaneous EEG and fMRI: Recording, Analysis, and Application

Published in print:
2010
Published Online:
May 2010
ISBN:
9780195372731
eISBN:
9780199776283
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195372731.003.0011
Subject:
Neuroscience, Techniques

Independent component analysis (ICA) is increasingly utilized as a tool for evaluating the hidden spatiotemporal structure contained within brain imaging data. This chapter first provides a brief ... More


Parallel EEG-fMRI ICA Decomposition

Tom Eichele and Vince D. Calhoun

in Simultaneous EEG and fMRI: Recording, Analysis, and Application

Published in print:
2010
Published Online:
May 2010
ISBN:
9780195372731
eISBN:
9780199776283
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195372731.003.0012
Subject:
Neuroscience, Techniques

This chapter introduces and applies the concept of parallel spatial and temporal unmixing with group independent component analysis (ICA) for concurrent electroencephalography-functional magnetic ... More


Using ICA for the Analysis of Multi-Channel EEG Data

Stefan Debener, Jeremy Thorne, Till R. Schneider, and Filipa Campos Viola

in Simultaneous EEG and fMRI: Recording, Analysis, and Application

Published in print:
2010
Published Online:
May 2010
ISBN:
9780195372731
eISBN:
9780199776283
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195372731.003.0008
Subject:
Neuroscience, Techniques

Independent component analysis (ICA) is a linear decomposition technique that aims to reveal the underlying statistical sources of mixed signals. The EEG signal consists of a mixture of various brain ... More


EEG-Informed fMRI Analysis

Markus Ullsperger

in Simultaneous EEG and fMRI: Recording, Analysis, and Application

Published in print:
2010
Published Online:
May 2010
ISBN:
9780195372731
eISBN:
9780199776283
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195372731.003.0010
Subject:
Neuroscience, Techniques

This chapter gives an overview of data integration methods for simultaneous EEG-fMRI, in which EEG features are extracted and used to parametrically model the fMRI data. Up to now, variants of ... More


Comparison of Component Models in Analysing the Distribution of Dialectal Features

Antti Leino and Saara HyvÖnen

in Computing and Language Variation: International Journal of Humanities and Arts Computing Volume 2

Published in print:
2009
Published Online:
September 2012
ISBN:
9780748640300
eISBN:
9780748671380
Item type:
chapter
Publisher:
Edinburgh University Press
DOI:
10.3366/edinburgh/9780748640300.003.0010
Subject:
Linguistics, Applied Linguistics and Pedagogy

Languages are traditionally subdivided into geographically distinct dialects, although any such division is just a coarse approximation of a more fine-grained variation. This underlying variation is ... More


Capturing “Trial-to-Trial” Variations in Human Brain Activity: From Laboratory to Real World

Akaysha C. Tang, Matthew T. Sutherland, and Zhen Yang

in The Dynamic Brain: An Exploration of Neuronal Variability and Its Functional Significance

Published in print:
2011
Published Online:
September 2011
ISBN:
9780195393798
eISBN:
9780199897049
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195393798.003.0009
Subject:
Neuroscience, Behavioral Neuroscience, Development

To understand cognition and emotion in the real world, it is critical to investigate the phenomena of interest within the rich context of moment-to-moment variations in the real world, which we ... More


Toward Automatic Recognition of Spontaneous Facial Actions

Marian Stewart Bartlett, Javier R. Movellan, Gwen Littlewort, Bjorn Braathen, Mark G. Frank, and Terrence J. Sejnowski

in What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS)

Published in print:
2005
Published Online:
March 2012
ISBN:
9780195179644
eISBN:
9780199847044
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195179644.003.0019
Subject:
Psychology, Cognitive Psychology

This chapter presents an approach for developing a fully automatic Facial Action Coding System (FACS). The approach uses state-of-the-art machine learning techniques that can be applied to ... More


View: