BSMac: A MATLAB toolbox implementing a Bayesian spatial model for brain activation and connectivity

MATLAB toolbox for functional connectivity

The term "functional connectivity" is used to denote correlations in activation among spatially-distinct brain regions, either in a resting state or when processing external stimuli. Functional connectivity has been extensively evaluated with several functional neuroimaging methods, particularly PET and fMRI. Yet these relationships have been quantified using very different measures and the ext...

A MATLAB toolbox for Granger causal connectivity analysis.

Assessing directed functional connectivity from time series data is a key challenge in neuroscience. One approach to this problem leverages a combination of Granger causality analysis and network theory. This article describes a freely available MATLAB toolbox--'Granger causal connectivity analysis' (GCCA)--which provides a core set of methods for performing this analysis on a variety of neuros...

DynamicBC: A MATLAB Toolbox for Dynamic Brain Connectome Analysis

The brain connectome collects the complex network architectures, looking at both static and dynamic functional connectivity. The former normally requires stationary signals and connections. However, the human brain activity and connections are most likely time dependent and dynamic, and related to ongoing rhythmic activity. We developed an open-source MATLAB toolbox DynamicBC with user-friendly...

Gaussian processes for Bayesian analysis User guide for Matlab toolbox

A MATLAB Toolbox for Teaching Model Order Reduction Techniques

 This paper presents a MATLAB-based toolbox with a Graphical User Interface (GUI), which can be used to compute reduced models of a large system by using one of the twenty order reduction techniques available in the toolbox. The methods that have been implemented in the toolbox include the Padé, Routh, Cauer, Continued-Fraction Expansion, and algorithms that provide mixtures of these technique...