• DocumentCode
    1988145
  • Title

    The time machine: A novel spike-based computation architecture

  • Author

    Garg, Vaibhav ; Shekhar, Ravi ; Harris, John G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    685
  • Lastpage
    688
  • Abstract
    A novel spike-based computation architecture has been developed which represents synaptic weights in time. An analog chip with 32 neurons, 1024 synapses and an AER block has been fabricated in 0.5μm technology. A digital implementation of the architecture having 6,144 neurons and 100,352 synapses on an FPGA is also described. A digital controller for routing spikes can processes up to 34 million synapses per second. The architecture is called the time machine as it operates on timing events and uses time to store weights. The time machine is general enough for implementing many spike-based algorithms yet provides flexibility and configurability.
  • Keywords
    field programmable gate arrays; logic design; neural chips; AER block; FPGA; analog chip; digital controller; routing spikes; size 0.5 mum; spike-based algorithms; spike-based computation architecture; synaptic weights; time machine; Computer architecture; Delay; Field programmable gate arrays; Hardware; Neurons; Radiation detectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2011 IEEE International Symposium on
  • Conference_Location
    Rio de Janeiro
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4244-9473-6
  • Electronic_ISBN
    0271-4302
  • Type

    conf

  • DOI
    10.1109/ISCAS.2011.5937658
  • Filename
    5937658