In 2018, the team showed the ability to predict the brain’s state in real-time with AI, and use this prediction to control stimulation delivery. This is called personalized, closed-loop stimulation, because the stimulation therapy is meant to be personalized to each participant’s unique pattern of brain activity.
In this study, personalized stimulation to the temporal lobe during periods of poor predicted memory resulted in memory improvements. It was found that delivering this personalized stimulation to the temporal lobe specifically during periods when memory performance was predicted to be poor resulted in significant improvements in memory. This demonstrated the power of real-time, AI-driven feedback to precisely intervene and enhance human memory function.
