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Advances in multimodal emotion recognition based on brain–computer interfaces
With the continuous development of portable noninvasive human sensor technologies such
as brain–computer interfaces (BCI), multimodal emotion recognition has attracted increasing …
as brain–computer interfaces (BCI), multimodal emotion recognition has attracted increasing …
Statistical analysis of fMRI time-series: a critical review of the GLM approach
MM Monti - Frontiers in human neuroscience, 2011 - frontiersin.org
Functional magnetic resonance imaging (fMRI) is one of the most widely used tools to study
the neural underpinnings of human cognition. Standard analysis of fMRI data relies on a …
the neural underpinnings of human cognition. Standard analysis of fMRI data relies on a …
[PDF][PDF] 14 Statistical analysis of activation images
KJ Worsley - Functional MRI: An introduction to methods., 2001 - ndl.ethernet.edu.et
In many experiments several different stimuli are presented. In the experiment used to
illustrate the methods in this chapter, a subject was given a painful heat stimulus (49 C) to …
illustrate the methods in this chapter, a subject was given a painful heat stimulus (49 C) to …
Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses
Estimates of hemodynamic response functions (HRF) are often integral parts of event-
related fMRI analyses. Although HRFs vary across individuals and brain regions, few studies …
related fMRI analyses. Although HRFs vary across individuals and brain regions, few studies …
The statistical analysis of fMRI data
MA Lindquist - 2008 - projecteuclid.org
In recent years there has been explosive growth in the number of neuroimaging studies
performed using functional Magnetic Resonance Imaging (fMRI). The field that has grown …
performed using functional Magnetic Resonance Imaging (fMRI). The field that has grown …
Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modeling
Most brain research to date have focused on studying the amplitude of evoked fMRI
responses, though there has recently been an increased interest in measuring onset, peak …
responses, though there has recently been an increased interest in measuring onset, peak …
Fast fMRI can detect oscillatory neural activity in humans
Oscillatory neural dynamics play an important role in the coordination of large-scale brain
networks. High-level cognitive processes depend on dynamics evolving over hundreds of …
networks. High-level cognitive processes depend on dynamics evolving over hundreds of …
[KNJIGA][B] The statistical analysis of functional MRI data
N Lazar - 2008 - books.google.com
The study of brain function is one of the most fascinating pursuits of m-ern science.
Functional neuroimaging is an important component of much of the current research in …
Functional neuroimaging is an important component of much of the current research in …
The general linear model and fMRI: does love last forever?
In this review, we first set out the general linear model (GLM) for the non technical reader, as
a tool able to do both linear regression and ANOVA within the same flexible framework. We …
a tool able to do both linear regression and ANOVA within the same flexible framework. We …
Just because you're imaging the brain doesn't mean you can stop using your head: a primer and set of first principles.
JT Cacioppo, GG Berntson, TS Lorig… - Journal of personality …, 2003 - psycnet.apa.org
Developments within the neurosciences, cognitive sciences, and social sciences have
contributed to the emergence of social neuroscience. Among the most obvious …
contributed to the emergence of social neuroscience. Among the most obvious …