Reverberating activity in a neural network with distributed signal transmission delays

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抄録

It is known that an identical delay in all transmission lines can destabilize the macroscopic stationarity of a neural network, causing oscillation. We analyze the collective dynamics of a network whose transmission delays are distributed in time. Here, a neuron is modeled as a discrete-time threshold element that responds in an all-or-nothing manner to a linear sum of signals that arrive after delays assigned to individual transmission lines. Even though transmission delays are distributed in time, a whole network exhibits a single collective oscillation with a period close to the average transmission delay. The collective oscillation cannot only be a simple alternation of the consecutive firing and resting, but also arbitrarily sequenced series of firing and resting, reverberating in a certain period of time. Moreover, the system dynamics can be made quasiperiodic or chaotic by changing the distribution of delays.

収録刊行物

  • Physical Review E

    Physical Review E 76 (5), 2007-11

    American Physical Society (APS)

詳細情報 詳細情報について

  • CRID
    1050001201695211776
  • NII論文ID
    120003018622
  • NII書誌ID
    AA11558033
  • ISSN
    15393755
    24700053
    24700045
  • HANDLE
    2433/140398
  • 本文言語コード
    en
  • 資料種別
    journal article
  • データソース種別
    • IRDB
    • CiNii Articles

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