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Nat Neurosci. 1999 Jul;2(7):664-70.

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

Author information

1
Department of Neurobiology and Anatomy, MCP Hahnemann School of Medicine, Philadelphia, Pennsylvania 19129, USA. chapinj@mcphu.edu

Abstract

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.

PMID:
10404201
DOI:
10.1038/10223
[Indexed for MEDLINE]
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