Dr. Ahmed's research uses a neuroeconomic approach to reverse engineer how the brain controls movement. Specifically, she seeks to understand the costs and rewards underlying movement choices in health and disease. Experiments use a combination of approaches involving virtual reality, robotic interfaces, kinetic and kinematic analyses. Coupled with computational models, these investigations will provide greater insight into the interplay between the biomechanical and sensorimotor processes underlying human movement control, learning, and decision-making.
decision making, movement, neuroeconomics, biomechanics, neuromechanics, computational motor control