Parallelization for increased capacity in brain-machine interfaces (Neuroscience)
A brainmachine interface is one that allows a user to control a machine using only their thoughts. Our current systems record 64 simultaneous electrodes of EEG and jointly process them for brain-machine interface applications. One application we are working on is allowing users to control remote-controlled airplanes using only signals from their brains. We are in collaboration with others at Illinois to develop highdensity EEG sensing systems that will include many more electrodes. Our proposed student project is to parallelize the neural signal processing routines, so that they scale to handle the larger count of electrodes.