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IEEE Pulse. 2012 Mar;3(2):57-60. doi: 10.1109/MPUL.2011.2181026.

Neural interfaces for upper-limb prosthesis control: opportunities to improve long-term reliability.

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Microsystems Technology Office, DARPA, Arlington, Virginia, USA.


Building on a long history of innovation in neural-recording interfaces, the Defense Advanced Research Projects Agency (DARPA) has launched a program to address the key challenges related to transitioning advanced neuroprosthesis technology to clinical use for amputated service members. The goal of the Reliable Neural Technology (RE-NET) Program is to develop new technology to extract information from the nervous system at a scale and rate needed to reliably control modern robotic prostheses over the lifetime of the amputee. The RE-NET program currently encompasses three separate efforts: histology for interface stability over time (HIST), reliable peripheral interfaces (RPIs), and reliable central nervous system (CNS) interfaces (RCIs).

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