• DocumentCode
    1786835
  • Title

    Neuro inspired computing with coupled relaxation oscillators

  • Author

    Datta, Soupayan ; Shukla, Nitin ; Cotter, Matthew ; Parihar, Abhinav ; Raychowdhury, Arijit

  • Author_Institution
    Dept. of Electr. Eng., Penn State Univ., University Park, PA, USA
  • fYear
    2014
  • fDate
    1-5 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Harnessing the computational capabilities of dynamical systems has attracted the attention of scientists and engineers form varied technical disciplines over decades. The time evolution of coupled, non-linear synchronous oscillatory systems has led to active research in understanding their dynamical properties and exploring their applications in brain-inspired, neuromorphic computational models. In this paper we present the realization of coupled and scalable relaxation-oscillators utilizing the metal-insulator-metal transition of vanadium-dioxide (VO2) thin films. We demonstrate the potential use of such a system in pattern recognition, as one possible computational model using such a system.
  • Keywords
    MIM devices; coupled circuits; relaxation oscillators; thin film circuits; vanadium compounds; VO2; brain-inspired neuromorphic computational model; coupled nonlinear synchronous oscillatory system; coupled relaxation oscillator; metal-insulator-metal transition; neuro inspired computing; pattern recognition; thin film; Conductivity; Couplings; Electric fields; Oscillators; Pattern matching; Resistance; Synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (DAC), 2014 51st ACM/EDAC/IEEE
  • Conference_Location
    San Francisco, CA
  • Type

    conf

  • DOI
    10.1145/2593069.2596685
  • Filename
    6881401