脉冲耦合振子自适应网络中的混沌同步
无序系统与神经网络
2024-07-12 v1 混沌动力学
神经元与认知
摘要
相位振子的集团已已知地表现出多种集体态。本文表明,一个简单的数场模型涉及两个异构的脉冲耦合振子群,在强耦合极限下,表现出稳健的不规则宏观动力学。 resulting strongly synchronized regime is sustained by a homeostatic mechanism induced by the shape of the phase-response curve combined with adaptive coupling strength, included to account for energy dissipated by the pulse emission. The proposed setup mimicks a neural network composed of excitatory and inhibitory neurons. 该结果强烈同步的 regime 由相位响应曲线形状引发的稳态机制与自适应耦合强度共同维持,后者用于考虑脉冲发射耗散的能量。该构图模拟了一个由兴奋性和抑制性神经元组成的神经网络。
引用
@article{arxiv.2407.08453,
title = {Chaotic synchronization in adaptive networks of pulse-coupled oscillators},
author = {German Mato and Antonio Politi and Alessandro Torcini},
journal= {arXiv preprint arXiv:2407.08453},
year = {2024}
}
备注
4 pages, 3 figures; supplemental material 3 opages, 3 figures