Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex.
Journal Article (Journal Article)
To determine whether simultaneously recorded motor cortex neurons can be used for real-time device control, rats were trained to position a robot arm to obtain water by pressing a lever. Mathematical transformations, including neural networks, converted multineuron signals into 'neuronal population functions' that accurately predicted lever trajectory. Next, these functions were electronically converted into real-time signals for robot arm control. After switching to this 'neurorobotic' mode, 4 of 6 animals (those with > 25 task-related neurons) routinely used these brain-derived signals to position the robot arm and obtain water. With continued training in neurorobotic mode, the animals' lever movement diminished or stopped. These results suggest a possible means for movement restoration in paralysis patients.
- Chapin, JK; Moxon, KA; Markowitz, RS; Nicolelis, MA
- July 1999
Volume / Issue
- 2 / 7
Start / End Page
- 664 - 670
International Standard Serial Number (ISSN)
Digital Object Identifier (DOI)
- United States