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We have recently shown that electronic decoding of neuronal population activity could be used to extract and utilize "comm" for forelimb movement from the motor cortex of rats. The rats were initially trained to use their forelimbs to press down a lever to a certain position. The lever movement controlled movement of a robot arm to obtain a drop of water from a dropper (fig. 1). When the rat released the lever the robot arm delivered the water to the rat's mouth. Next we suddenly switched the control of the robot arm away from this lever-press, and replaced it with the electronic signal carrying decoded movement commands from the motor cortex. Four of the six rats were able to use this motor command signal to control the robot arm with sufficient accuracy to reliably and repeatedly retrieve water drops. After a few days of this training, the animals were increasingly able to move the robot arm and retrieve water without the concomitant lever pressing. This suggests that motor cortical control of limb movement is modifiable. Thus, paraplegic patients might be able to use their motor cortex activity to directly control a robot arm, or their own arm using functional stimulation of the paralyzed muscles. In collaborative studies with Dr. Miguel Nicolelis at Duke University the overall feasibility of this approach has been demonstrated in monkeys. We are now further developing technology to allow up to 1000 neurons to be recorded simultaneously.
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Brain-Computer Interfaces: An international assessment of research and development trends (2010)
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mag(2008)
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#Papers: 75
#Citation: 6234
H-Index: 30
G-Index: 75
Sociability: 5
Diversity: 1
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