Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex.

Published

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.

Full Text

Duke Authors

Cited Authors

  • Chapin, JK; Moxon, KA; Markowitz, RS; Nicolelis, MA

Published Date

  • July 1999

Published In

Volume / Issue

  • 2 / 7

Start / End Page

  • 664 - 670

PubMed ID

  • 10404201

Pubmed Central ID

  • 10404201

International Standard Serial Number (ISSN)

  • 1097-6256

Digital Object Identifier (DOI)

  • 10.1038/10223

Language

  • eng

Conference Location

  • United States