Deep-learning methods based on deep neural networks (DNNs) have recently been
successfully utilized in the analysis of neuroimaging data. A convolutional neural network …

Affect labeling (putting feelings into words) is a form of incidental emotion regulation that
could underpin some benefits of expressive writing (ie writing about negative experiences) …

Over the past few years, the dimensionality of functional MRI (fMRI) effects the analysis of
brain data. In the field of machine learning and statistical analysis, classification of objects …

Functional MRI (fMRI) data comprises of a set of trials, each trial is described in terms of a
group of 20 to 25 anatomical Region Of Interests (ROI). Each ROI consists of neuroimage …

Functional Magnetic Resonance Imaging (fMRI) is an emerging medical tool used to
measure brain activities that were induced normally such as cognitive states (eg, reading a …

Classification is a familiar technique used to classify objects. Clustering techniques are
employed to segment data into multiple groups. Objects present in clusters exhibit similar …

Functional Magnetic Resonance Imaging (fMRI) is a neuroimaging technique that has
proven to be useful for decoding and analyzing cognitive states of the human brain. It …

Previous studies have indicated that both electroencephalography (EEG) and functional
magnetic resonance imaging (fMRI) features can be used to estimate memory load. The …

Many theories of schema-based processing implicitly assume that information irrelevant to a
schema will be unaffected by its presence. However, this notion has yet to be formally …

A method for classifying input data includes receiving the input data that describe an object,
wherein the input data corresponds to plural classes; associating the input data with voxels …