• DocumentCode
    303319
  • Title

    Neuromorphic analog communication

  • Author

    Marienborg, Jan-Tore ; Lande, Tor Sverre ; Hovin, Mats ; Abusland, Ånen

  • Author_Institution
    Dept. of Inf., Oslo Univ., Norway
  • Volume
    2
  • fYear
    1996
  • fDate
    3-6 Jun 1996
  • Firstpage
    920
  • Abstract
    A recurring topic concerning neural nets implemented in VLSI is chip to chip communication and chip to computer communication. One common approach is the asynchronous event protocol, where an asynchronous digital bus is transferring “neural spikes” as events. Since neural circuits are spiking randomly, a collision strategy must be adopted preserving the statistical properties of the neural representation. This paper describes the methodology and theory behind an approach preserving and taking advantage of the statistical properties of the pulses. It describes a bus encoding scheme with 100% collision detection and a proposed implementation of a simple arbitration circuit implemented with event aging and a CSMA collision strategy. Some simulation results are included
  • Keywords
    VLSI; analogue integrated circuits; analogue processing circuits; carrier sense multiple access; data communication; neural chips; CSMA collision strategy; VLSI; arbitration circuit; asynchronous digital bus; asynchronous event protocol; bus encoding scheme; chip-to-chip communication; chip-to-computer communication; collision detection; collision strategy; event aging; neural nets; neural spikes; neuromorphic analog communication; statistical properties; Aging; Circuits; Encoding; Informatics; Neural networks; Neuromorphics; Neurons; Stochastic processes; Timing; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1996., IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-3210-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1996.549020
  • Filename
    549020