Other Results of the Project
Within our Analogue Evolutionary Brain-Computer Interfaces EPSRC
Project (EP/F033818/1) we stumbled onto a couple of other useful results.
discovered a new coordinate transformation for EEG signals whose basis functions, that we call eigenbrains, are
well suited to represent the large-scale dynamics associated with
event related potentials. The method involves instantiating an
approximate model of the electrical properties of the brain as a
conductor medium and then studying the free vibrational modes of the
model. Eigenbrains can be used to meaningfully re-represent
the brain's electrical activity in a form which is similar to how human expert discribe such activity. We also compared our eigenbrains to
principal component analysis and independent component analysis highlighting differences and similarities.
Secondly, we discovered serious methodological errors in a recent article on an alternative form of BCI mouse, which suggested subjects had much less control of the device than claimed. The resulting letter to the editor was accepted for publication in the highly regarded Journal of Neural Engineering.