The technology at the heart of this project is IBM's TrueNorth, a computer chip designed to mimic the structure of the brain. The researchers wanted to prove that this system would be useful for epilepsy data, which is their main goal, so they used this study as a proof of concept. A participant completed a series of tasks that involved a left hand or right hand squeeze, all while hooked up to an EEG that was detecting his brainwaves. The researchers used that data to train their deep learning system, then used it to predict which hand the participant was squeezing. The algorithm, they found, was 76 percent accurate. That's not as high as they had hoped—past trials had generated a model that was 86 percent accurate—but the researchers were hearted that more training data would improve their models.