published: Dec. 20, 2008, recorded: December 2008, views: 800
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BCPy2000 Jeremy Hill, Max-Planck-Institute for Biological Cybernetics, T¨ ubingen, Germany BCPy2000 provides a platform for rapid, ﬂexible development of experimental Brain-Computer Interface systems based on the BCI2000.org project. From the developer’s point of view, the implementation is carried out in Python, taking advantage of various high-level packages: VisionEgg for stimulus presentation, NumPy and SciPy for signal processing and classiﬁcation, and IPython for interactive debugging. BCPy2000 implements a lot of infrastructure allowing you to get new experiments up and running quickly. It also contains a set of optional tools, which are still a work in progress but which are rapidly turning into a kind of “standard library” of object-oriented signal-processing and stimulus widgets. These features make it a ﬂexible platform for developers of new NumPy/SciPy-based machine-learning algorithms in the ﬁeld of realtime biosignal analysis.
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