BrainIAK: the brain imaging analysis kit
Functional magnetic resonance imaging (fMRI) offers a rich source of data for studying the
neural basis of cognition. Here, we describe the Brain Imaging Analysis Kit (BrainIAK), an …
neural basis of cognition. Here, we describe the Brain Imaging Analysis Kit (BrainIAK), an …
[HTML][HTML] Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis
With the wide adoption of functional magnetic resonance imaging (fMRI) by cognitive
neuroscience researchers, large volumes of brain imaging data have been accumulated in …
neuroscience researchers, large volumes of brain imaging data have been accumulated in …
Gaussian process linking functions for mind, brain, and behavior
The link between mind, brain, and behavior has mystified philosophers and scientists for
millennia. Recent progress has been made by forming statistical associations between …
millennia. Recent progress has been made by forming statistical associations between …
Enhanced hyperalignment via spatial prior information
Functional alignment between subjects is an important assumption of functional magnetic
resonance imaging (fMRI) group‐level analysis. However, it is often violated in practice …
resonance imaging (fMRI) group‐level analysis. However, it is often violated in practice …
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging
Several problems in neuroimaging and beyond require inference on the parameters of multi-
task sparse hierarchical regression models. Examples include M/EEG inverse problems …
task sparse hierarchical regression models. Examples include M/EEG inverse problems …
Differential network knockoff filter with application to brain connectivity analysis
The brain functional connectivity can typically be represented as a brain functional network,
where nodes represent regions of interest (ROIs) and edges symbolize their connections …
where nodes represent regions of interest (ROIs) and edges symbolize their connections …
Information Geometry and Asymptotics for Kronecker Covariances
A McCormack, P Hoff - ar** analysis methods to model such heterogeneity is a major challenge. A promising …