• DocumentCode
    2775650
  • Title

    Towards a Bionic Neural Link for Implantable Prosthetics

  • Author

    Li, Xiaoying ; Constandinou, Timothy G. ; Eftekhar, Amir ; Georgiou, Pantelis ; Toumazou, Chris

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll. London
  • fYear
    2007
  • fDate
    2-5 May 2007
  • Firstpage
    85
  • Lastpage
    88
  • Abstract
    This paper presents a biologically-inspired ´silicon neural link´, encompassing a neurochemical sensor array, an asynchronous artificial-neural bus and an interleaved biphasic stimulus generator. The proposed system is intended for neuroprosthetic application; employing an array of ISFET-based spiking neurons to convey measured neuronal data across a damaged neural pathway to a target stimulation site. A 48 dB dynamic range is achieved by encoding the neural signal in the time-domain, using accumulating address-events to modulate the biphasic waveform. The electrical stimulation is delivered via a bipolar electrode configuration in a continuous interleave sampling strategy. This has been implemented in a commercially available 035mum CMOS technology.
  • Keywords
    biocybernetics; biomedical electrodes; neural nets; prosthetics; 35 micron; ISFET-based spiking neurons; bionic neural link; biphasic waveform; bipolar electrode; continuous interleave sampling; damaged neural pathway; electrical stimulation; implantable prosthetics; neural signal; neuroprosthetic application; silicon neural link; Biological information theory; Biosensors; CMOS technology; Dynamic range; Encoding; Neural pathways; Neural prosthesis; Neurons; Sensor arrays; Silicon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2007. CNE '07. 3rd International IEEE/EMBS Conference on
  • Conference_Location
    Kohala Coast, HI
  • Print_ISBN
    1-4244-0792-3
  • Electronic_ISBN
    1-4244-0792-3
  • Type

    conf

  • DOI
    10.1109/CNE.2007.369618
  • Filename
    4227223