My PhD research has focused on developing computational neuroscience models of control of movements as achieved my the central nervous system. By studying vast quantities of human arm movements and utilizing the techniques of optimization theory, machine learning, and optimal control theory, my colleagues and I have developed a biologically realistic control policy that the nervous system may be implementing. This control policy is inherently simple to implement and can also be applied to a robotic system to create smooth human-like movements.

More details coming soon.



Neural Integration