• DocumentCode
    3046113
  • Title

    65k-neuron integrate-and-fire array transceiver with address-event reconfigurable synaptic routing

  • Author

    yu, tao ; Jongkil Park ; Joshi, S. ; Maier, Christian ; Cauwenberghs, Gert

  • Author_Institution
    Dept. of Electr. & Comput. Eng., UC San Diego, La Jolla, CA, USA
  • fYear
    2012
  • fDate
    28-30 Nov. 2012
  • Firstpage
    21
  • Lastpage
    24
  • Abstract
    We present a mixed-signal VLSI event-driven neural array with 65k two-compartment integrate-and-fire neurons each with four time-multiplexed facilitating conductance-based synapses. The array implements general spike-based neural models with dynamically reconfigurable synaptic connectivity through address-event routing of synaptic events. Measurements of synaptic and neural transceiver characteristics are presented, showing variation in neuronal excitability and paired-pulse synaptic facilitation with analog control parameters. The chip measures 5mm × 5mm in 130nm CMOS and consumes 252μW from 1.5V at 5M event/s synaptic input rate resulting in 50pJ/spike power consumption.
  • Keywords
    CMOS integrated circuits; VLSI; biomedical equipment; mixed analogue-digital integrated circuits; network routing; neural chips; neurophysiology; transceivers; address-event reconfigurable synaptic routing; address-event routing; analog control parameters; chip measurement; dynamically reconfigurable synaptic connectivity; mixed-signal VLSI event-driven neural array; neural transceiver characteristics; neuron integrate-fire array transceiver; neuronal excitability; paired-pulse synaptic facilitation; power 2.52 muW; size 130 nm; spike power consumption; spike-based neural models; synaptic events; synaptic input rate; time-multiplexed facilitating conductance-based synapses; two-compartment integrate-fire neurons; voltage 1.5 V; Arrays; Neurons; Routing; Transceivers; Transistors; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2012 IEEE
  • Conference_Location
    Hsinchu
  • Print_ISBN
    978-1-4673-2291-1
  • Electronic_ISBN
    978-1-4673-2292-8
  • Type

    conf

  • DOI
    10.1109/BioCAS.2012.6418479
  • Filename
    6418479