Useful Signals From Motor Cortex
University of Pittsburgh
Time and Place
Over the years, we have shown that detailed predictive information of the arm's trajectory can be extracted from populations of single unit recordings from motor cortex. Using drawing movements as a behavioral paradigm, these signals have been shown to contain instantaneous velocity information and many of the invariants describing animate movement. Furthermore, this technique can be used to study visuo-perceptual processes taking place as objects are drawn. By developing techniques to record these populations and process the signal in real-time, we have been successful in demonstrating the efficacy of these recordings as a control signal for intended movements in 3D space. Having shown that closed-loop control of a cortical prosthesis can produce very good brain-controlled movements in virtual reality, we have been extending this work to robot control. We are using an anthropomorphic robot arm with our closed-loop system to show how monkeys can control the robot's movement with direct brain-control in a self-feeding task. The animals control the arm continuously in 3D space to reach out to the food and retrieve it to their mouths. Since the recorded signals are a high fidelity representation of the intended behavior and contain features of animate movement, neural prosthetic devices derived from this technology are capable of producing agile, natural movement.
Dr. Schwartz received his Ph.D. from the
In 1988, Dr. Schwartz began his independent research
career at the Barrow Neurological Institute in
Schwartz moved from the Barrow Neurological Institute
to the Neurosciences Institute in
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