  Recognition and interpretation of brain activity patterns from EEG or MEG
signals is one of the most important tasks in cognitive neuroscience, requiring
sophisticated methods of signal processing. The supFunSim library is a new
Matlab toolbox which generates accurate EEG forward models and implements a
collection of spatial filters for EEG source reconstruction, including 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) and directed transfer function (DTF) measures.
The supFunSim library is based on the well-known FieldTrip 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 some use
cases.
