Daniel Moran

Scientists at Washington University in St. Louis who were decoding the activity of populations of neurons in the motor cortex discovered that they could tell how a monkey was planning to approach a reaching task. By chance the two monkeys chosen for the study had completely different cognitive styles. One was a hyperactive type, who kept jumping the gun, and the other was a smooth operator, who waited for the entire setup to be revealed before planning his next move. The difference is clearly visible in their decoded brain activity, allowing the scientists, in effect, to read their minds.

Daniel Moran, PhD, associate professor of biomedical engineering and neurobiology in the School of Engineering & Applied Science at Washington University in St. Louis, is developing brain-computer interfaces based on grids of electrodes that lie beneath the skull but outside the dura mater, the protective membrane that covers the brain. His next project is to slip a thin 32-electrode grid he designed with a colleague under a macaque’s skill and to train the monkey to control — strictly by thinking about it — a computational model of a macaque arm.