Neural Interfaces for Upper-Limb Prosthesis Control: Opportunities to Improve Long-Term Reliability PROJECT TITLE :Neural Interfaces for Upper-Limb Prosthesis Control: Opportunities to Improve Long-Term ReliabilityABSTRACT: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). Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Real-Time Unconstrained Object Recognition: A Processing Pipeline Based on the Mammalian Visual System Natural and Accelerated Recovery from Brain Damage: Experimental and Theoretical Approaches