• DocumentCode
    2570926
  • Title

    Neurons to Silicon: Implantable Prosthesis Processor

  • Author

    O´Driscoll, Stephen ; Meng, Teresa ; Shenoy, Krishna ; Kemere, Caleb

  • Author_Institution
    Stanford Univ., CA
  • fYear
    2006
  • fDate
    6-9 Feb. 2006
  • Firstpage
    2248
  • Lastpage
    2257
  • Abstract
    A processor architecture for neural prosthesis control is described. It implements real-time neural decoding from a permanently implanted electrode array to reduce the data rate from 80Mb/s to 20b/s, minimizing the wireless communication requirements. The neural signals are digitized by a 100-channel 100kS/s adaptive-resolution ADC array consuming 1muW per channel
  • Keywords
    analogue-digital conversion; biomedical electrodes; microprocessor chips; neural chips; prosthetics; adaptive-resolution ADC array; analog-to-digital converters; implantable prosthesis processor; implanted electrode array; neural decoding; neural prosthesis control; neural signals; processor architecture; wireless communication; Data mining; Energy consumption; Energy resolution; MIM capacitors; Neural prosthesis; Neurons; Parasitic capacitance; Prosthetics; Signal processing; Silicon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Solid-State Circuits Conference, 2006. ISSCC 2006. Digest of Technical Papers. IEEE International
  • Conference_Location
    San Francisco, CA
  • ISSN
    0193-6530
  • Print_ISBN
    1-4244-0079-1
  • Type

    conf

  • DOI
    10.1109/ISSCC.2006.1696287
  • Filename
    1696287