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.

Firstly, we 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.