Now showing items 1-2 of 2

    • Efficient Universal Computing Architectures for Decoding Neural Activity 

      Rapoport, Benjamin Isaac; Turicchia, Lorenzo; Wattanapanitch, Woradorn; Davidson, Thomas J.; Sarpeshkar, Rahul (Public Library of Science, 2012)
      The ability to decode neural activity into meaningful control signals for prosthetic devices is critical to the development of clinically useful brain– machine interfaces (BMIs). Such systems require input from tens to ...
    • A Glucose Fuel Cell for Implantable Brain–Machine Interfaces 

      Rapoport, Benjamin Isaac; Kedzierski, Jakub T.; Sarpeshkar, Rahul (Public Library of Science, 2012)
      We have developed an implantable fuel cell that generates power through glucose oxidation, producing 3.4 \(\mu\)W cm\(^{-2}\) steady-state power and up to 180 \(\mu\)W cm\(^{-2}\) peak power. The fuel cell is manufactured ...