Help improve treatment for brain injuries using machine learning and R

Scientists can now gather real-time electrical activity from the brain during actions and thoughts, which is helping to pinpoint the exact location of brain lesions caused by strokes, and is leading to promising treatments for epilepsy and even profound paralysis. In the video, Dr Kai Miller, Neurosurgery Resident at Stanford University, described an ingenious experiment designed to link brain activity to perception. In the experiment, several epilepsy patients were shown a series of images, each of which was either a house or a face. Simultaneously, electrical activity on the brain surface was measured by 64 separate brain sensors. The goal is to be able to create a model from the brain sensor data that can accurately predict what the patients is seeing: a face or a house.