• DocumentCode
    2256507
  • Title

    128-channel fully differential digital neural recording and stimulation interface

  • Author

    Shahrokhi, Farzaneh ; Abdelhalim, Karim ; Genov, Roman

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2009
  • fDate
    24-27 May 2009
  • Firstpage
    1249
  • Lastpage
    1252
  • Abstract
    We present a fully differential 128-channel integrated neural interface. It consists of an array of 8times16 low-power low-noise signal recording and generation channels for electrical neural activity monitoring and stimulation, respectively. The recording channel has two stages of signal amplification and conditioning with a programmable gain of 54 dB to 73 dB, and a fully differential 8-bit column-parallel successive approximation (SAR) analog-to-digital converter (ADC). The design is implemented in a 0.35 mum CMOS technology with the channel pitch of 200 mum. The total measured power consumption of each recording channel including the SAR ADC is 15.5 muW. The measured input referred noise is 6.08 muVrms over a 5 kHz bandwidth.
  • Keywords
    CMOS integrated circuits; analogue-digital conversion; low-power electronics; neural nets; operational amplifiers; 128-channel fully differential digital neural recording; CMOS technology; analog-to-digital converter; bandwidth 5 kHz; column-parallel successive approximation ADC; electrical neural activity monitoring; gain 54 dB to 73 dB; input referred noise measurement; low-power low-noise signal recording; neural stimulation interface; power 15.5 muW; power consumption measurement; signal amplification; size 0.35 mum; Analog-digital conversion; Bandwidth; CMOS technology; Computerized monitoring; Digital circuits; Digital recording; Dynamic range; Energy consumption; Power measurement; Signal generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-3827-3
  • Electronic_ISBN
    978-1-4244-3828-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.2009.5117989
  • Filename
    5117989