Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex.
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.
Duke Scholars
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Related Subject Headings
- Thalamus
- Robotics
- Rats, Long-Evans
- Rats
- Neurons
- Neurology & Neurosurgery
- Nerve Net
- Multivariate Analysis
- Movement
- Motor Cortex
Citation
Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Thalamus
- Robotics
- Rats, Long-Evans
- Rats
- Neurons
- Neurology & Neurosurgery
- Nerve Net
- Multivariate Analysis
- Movement
- Motor Cortex