Synopsis Blood Oxygen Level Dependent (BOLD) functional magnetic resonance imaging
(fMRI) depicts changes in deoxyhemoglobin concentration consequent to task-induced or …

This paper provides an overview of the support vector machine (SVM) methodology and its
applicability to real‐world engineering problems. Specifically, the aim of this study is to …

A popular method for investigating whether stimulus information is present in fMRI response
patterns is to attempt to “decode” the stimuli from the response patterns with a multivariate …

For centuries people have aspired to understand and control the functions of the mind and
brain. It has now become possible to image the functioning of the human brain in real time …

With the advent of brain computer interfaces based on real-time fMRI (rtfMRI-BCI), the
possibility of performing neurofeedback based on brain hemodynamics has become a …

An important question that confronts current research in affective neuroscience as well as in
the treatment of emotional disorders is whether it is possible to determine the emotional …

We have implemented a real‐time functional magnetic resonance imaging system based on
multivariate classification. This approach is distinctly different from spatially localized real …

Abstract Functional Magnetic Resonance Imaging (fMRI) is presently one of the most
popular techniques for analysing the dynamic states in brain images using various kinds of …

While medical imaging typically provides massive amounts of data, the extraction of relevant
information for predictive diagnosis remains a difficult challenge. Functional magnetic …

This paper introduces a multivariate Bayesian (MVB) scheme to decode or recognise brain
states from neuroimages. It resolves the ill-posed many-to-one map**, from voxel values …