Reverberating activity in a neural network with distributed signal transmission delays
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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
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- Physical Review E
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Physical Review E 76 (5), 2007-11
American Physical Society (APS)
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詳細情報 詳細情報について
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- CRID
- 1050001201695211776
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- NII論文ID
- 120003018622
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- NII書誌ID
- AA11558033
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- ISSN
- 15393755
- 24700053
- 24700045
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- HANDLE
- 2433/140398
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- 本文言語コード
- en
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- 資料種別
- journal article
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- データソース種別
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- IRDB
- CiNii Articles