Now showing items 1-5 of 5
Modeling the Representation of Medial Axis Structure in Human Ventral Pathway Cortex
(Johns Hopkins University, 2016-07-21)
Computational modeling of the human brain has long been an important goal of scientific research. The visual system is of particular interest because it is one of the primary modalities by which we understand the world. ...
THE NEURAL BASIS OF COGNITIVE CONTROL OF MOVEMENT INHIBITION
(Johns Hopkins University, 2016-05-06)
A crucial component of executive control of behavior is the ability to voluntarily inhibit an action when it has become inappropriate or dangerous in a given situation. A driver cruising through several green lights on a ...
HIGH-DIMENSIONAL MULTIVARIATE MEDIATION: WITH APPLICATION TO NEUROIMAGING DATA
(Johns Hopkins University, 2016-08-22)
Mediation analysis is an important tool in the behavioral sciences for investigating the role of intermediate variables that lie in the path between a randomized treatment and an outcome variable. The influence of the ...
STATISTICAL METHODS IN HIGH-DIMENSIONAL STRUCTURED DATA
(Johns Hopkins University, 2016-03-24)
Modern data pose several challenges to statistical analysis. They are not only big in size, high in dimensionality but also complex in structure. For example, diffusion tensor imaging (DTI) measures water diffusion within ...
Statistical Methods for Functional Magnetic Resonance Imaging Data
(Johns Hopkins University, 2016-04-08)
Understanding how the brain functions is one of the most important goals in science and medicine today. Functional magnetic resonance imaging (fMRI) is a noninvasive, widely used technology for studying brain function in ...