• DocumentCode
    324600
  • Title

    Synchrony and desynchrony in integrate-and-fire oscillators

  • Author

    Campbell, Shannon ; Wang, DeLiang

  • Author_Institution
    Dept. of Phys., Ohio State Univ., Columbus, OH, USA
  • Volume
    2
  • fYear
    1998
  • fDate
    4-9 May 1998
  • Firstpage
    1498
  • Abstract
    Due to many experimental reports of synchronized neural activity in the brain, there is much interest in understanding synchronization in networks of oscillators and using these systems for perceptual organization. The authors examine locally coupled networks of integrate-and-fire oscillators and, contrary to a recent report by Hopfield and Herz (1995), they find that they can quickly synchronise. Moreover the authors find that time to achieve synchrony increases logarithmically with the system size. Inspired by LEGION dynamics with relaxation oscillators, the authors are able to reliably desynchronize different oscillator groups in a network of integrate-and-fire oscillators using a global inhibitor
  • Keywords
    brain models; neural nets; neurophysiology; relaxation oscillators; synchronisation; LEGION dynamics; brain; desynchrony; integrate-and-fire oscillators; locally coupled networks; perceptual organization; relaxation oscillators; synchronized neural activity; synchrony; Biological information theory; Cognitive science; Computer networks; Fires; Information science; Inhibitors; Local oscillators; Neurons; Physics computing; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-4859-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.1998.685998
  • Filename
    685998