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arXiv · 0708.0606

Reverberating activity in a neural network with distributed signal transmission delays

Takahiro Omi·Shigeru Shinomoto
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Abstract

It is known that an identical delay in all transmission lines can destabilize macroscopic stationarity of a neural network, causing oscillation or chaos. We analyze the collective dynamics of a network whose intra-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 can not only be a simple alternation of the consecutive firing and resting, but also nontrivially 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.

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Takahiro Omi, Shigeru Shinomoto. 2007-08-04. Reverberating activity in a neural network with distributed signal transmission delays. https://doi.org/10.1103/physreve.76.051908

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