supFunSim : Spatial Filtering Toolbox for EEG

AbstractBrain activity pattern recognition from EEG or MEG signal analysis is one of the most important method in cognitive neuroscience. ThesupFunSim library is a newMatlab toolbox which generates accurate EEG forward model and implements a collection of spatial filters for EEG source reconstruction, including the linearly constrained minimum-variance (LCMV), eigenspace LCMV, nulling (NL), and minimum-variance pseudo-unbiased reduced-rank (MV-PURE) filters in various versions. It also enables source-level directed connectivity analysis using partial directed coherence (PDC) measure. ThesupFunSim library is based on the well-knownFieldTrip toolbox for EEG and MEG analysis and is written using object-oriented programming paradigm. The resulting modularity of the toolbox enables its simple extensibility. This paper gives a complete overview of the toolbox from both developer and end-user perspectives, including description of the installation process and use cases.
Source: Neuroinformatics - Category: Neuroscience Source Type: research