We aim to develop a system that will enable paralyzed patients to control devices using their brain activity. This system will be based on implanted electrodes, which have the advantage of a high signal-to-noise ratio, compared to extracranial electrodes. In addition, high frequencies (>100 Hz) can be recorded, and the system is less sensitive to noise.
Using the efforts of epilepsy patients, who are implanted temporarily with intracranial ECoG electrodes for diagnostic purposes, we investigate whether cognitive functions (e.g. working memory) can be used for BCI applications. Also, we examine whether the location of BCI-relevant brain areas can be predicted, in individual patients, using fMRI.