Stanford researchers at the Shenoy Lab have tested a method that can detect and predict the outcome of brain machine interface (BMI) tasks using motor cortical brain activity.
Stanford researchers have discovered an algorithm that significantly increases the performance of poorly performing brain machine interfaces (BMIs). This novel algorithm has two major innovations.
Millions of people are unable to move due to neurological injury or disease. Brain-machine interfaces seek to restore lost motor function to patients suffering such neurological deficits.