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Advances in Neuroprosthetic Learning and Control

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  • Jose M Carmena

Abstract

: This essay summarizes recent advances in the field of brain-machine interfaces, with a focus on the learning and acquisition of neuroprosthetic skills. Significant progress has occurred in the field of brain–machine interfaces (BMI) since the first demonstrations with rodents, monkeys, and humans controlling different prosthetic devices directly with neural activity. This technology holds great potential to aid large numbers of people with neurological disorders. However, despite this initial enthusiasm and the plethora of available robotic technologies, existing neural interfaces cannot as yet master the control of prosthetic, paralyzed, or otherwise disabled limbs. Here I briefly discuss recent advances from our laboratory into the neural basis of BMIs that should lead to better prosthetic control and clinically viable solutions, as well as new insights into the neurobiology of action.

Suggested Citation

  • Jose M Carmena, 2013. "Advances in Neuroprosthetic Learning and Control," PLOS Biology, Public Library of Science, vol. 11(5), pages 1-4, May.
    • Handle: RePEc:plo:pbio00:1001561
    DOI: 10.1371/journal.pbio.1001561
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    1. Mijail D. Serruya & Nicholas G. Hatsopoulos & Liam Paninski & Matthew R. Fellows & John P. Donoghue, 2002. "Instant neural control of a movement signal," Nature, Nature, vol. 416(6877), pages 141-142, March.
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