To predict the future behavior of a system, we can exploit the information collected in the
past, trying to identify recurring structures in what happened to predict what could happen, if …

Previous studies of motor learning have described the importance of cognitive processes
during the early stages of learning; however, the precise nature of these processes and their …

Performance of visuo‐motor tasks requires the transfer of visual data to motor performance
and depends highly on visual perception and cognitive processing, mainly during the …

The increasing availability of brain imaging technologies has led to intense neuroscientific
inquiry into the human brain. Studies often investigate brain function related to emotion …

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 …

We introduce a data-analysis framework and performance metrics for evaluating and
optimizing the interaction between activation tasks, experimental designs, and the …

We present a general method for automatic meta-analyses in neuroscience and apply it on
text data from published functional imaging studies to extract main functions associated with …

This book explores various state-of-the-art aspects behind the statistical analysis of
neuroimaging data. It examines the development of novel statistical approaches to model …

2011-11-07 Assigned to THE UNIVERSITY OF CHICAGO reassignment THE UNIVERSITY
OF CHICAGO ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR …

There is strong interest in investigating both functional connectivity (FC) using functional
magnetic resonance imaging (fMRI) and structural connectivity (SC) using diffusion tensor …