• DocumentCode
    3311222
  • Title

    A neuromorphic IC connection between cortical dendritic processing and HMM classification

  • Author

    Hasler, Paul ; Smith, Paul D. ; Farquhar, Ethan ; Anderson, David V.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2004
  • fDate
    1-4 Aug. 2004
  • Firstpage
    334
  • Lastpage
    337
  • Abstract
    We show connections between dendritic processing structures and hidden-Markov model (HMM) decoding that we arrived at through simultaneous circuit design of these systems. From an integrated circuit (IC) towards a biology perspective, these simple spreading networks relate well to cable theory and are similar to biological structures such as dendrites and cortical cells. Going in the other direction, from IC to classical digital signal processing (DSP), these structure hold similarities to HMM decoders. In order to implement both structures requires a compact array of variable conductance elements. Using floating-gate transistors, we are able to individually vary the conductance of each diffuser element in the array, which dramatically changes the analysis of these arrays.
  • Keywords
    classification; digital signal processing chips; hidden Markov models; neural nets; DSP; HMM classification; array diffuser elements; cable theory; cortical cells; cortical dendritic processing structures; dendritic computation; floating-gate transistors; hidden-Markov model decoding; integrated circuit biology perspective; neural modeling; neuromorphic engineering; spreading networks; variable conductance element array; Biological system modeling; Biology computing; Cells (biology); Circuit synthesis; Decoding; Design engineering; Hidden Markov models; Integrated circuit technology; Neuromorphics; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing Workshop, 2004 and the 3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th
  • Print_ISBN
    0-7803-8434-2
  • Type

    conf

  • DOI
    10.1109/DSPWS.2004.1437970
  • Filename
    1437970