  A Brain-Computer Interface (BCI) is a system that measures central nervous
system activity and translates the recorded data into an output suitable for a
computer to use as an input signal. Such a BCI system consists of three parts,
the signal acquisition, the signal processing and the feedback/stimulus
presentation. In this paper we present Wyrm, a signal processing toolbox for
BCI in Python. Wyrm is applicable to a broad range of neuroscientific problems
and capable for running online experiments in real time and off-line data
analysis and visualisation.
