• DocumentCode
    2551459
  • Title

    Silicon neurons that phase-lock

  • Author

    Wittig, John H., Jr. ; Boahen, Kwabena

  • Author_Institution
    Dept. of Bioeng., Pennsylvania Univ., Philadelphia, PA
  • fYear
    2006
  • fDate
    21-24 May 2006
  • Abstract
    We present a silicon neuron with a dynamic, active leak that enables precise spike-timing with respect to a time-varying input signal. Our neuron models the mammalian bushy cell, which enhances the phase-locking of its acoustically driven inputs. Our model enhances phase-locking by up to 38% (quantified by vector strength) across a 60 dB range of acoustic intensities, and up to 22% over a passive leak. Its conductance-based log-domain design yields a compact and efficient circuit, fabricated in 0.25 mum CMOS, that is an ideal timing-enhancing component for neuromorphic speech recognition systems
  • Keywords
    CMOS digital integrated circuits; digital signal processing chips; neural chips; speech recognition; 0.25 micron; CMOS integrated circuits; log-domain design; neuromorphic speech recognition; neuron models; spike timing; time-varying input signal; timing-enhancing component; Automatic speech recognition; Biological information theory; Biological system modeling; Circuits; Frequency; Humans; Neurons; Silicon; Speech recognition; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
  • Conference_Location
    Island of Kos
  • Print_ISBN
    0-7803-9389-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2006.1693638
  • Filename
    1693638