The dynamical properties of an optical neuron formed by a quantum dot semiconductor laser model subjected to optical injection and optical feedback are analyzed. The parameter space spanned by the injection strength and frequency detuning of the optical injection is systematically scanned and modulations of the bifurcation boundaries that induce complex scenarios are found, which enable new opportunities to introduce the optical setup as an optical neuron. The counterintuitive behavior of coherence resonance for different setups of a single-driven optical neuron under optical feedback is also found. Following the results, the microscopically motivated quantum dot laser rate equation model is reduced to the normal form of a saddle-node infinite period (SNIPER) bifurcation for low injection strengths and a network of four such SNIPER systems in a globally coupled setup is studied. A new phenomenon is observed, which is called collective coherence resonance. This novel dynamical behavior is connected to the coexistence of a network-wide SNIPER bifurcation and a change in stability for the synchronized manifold, analyzed via the master stability function.

中文翻译：

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光神经元网络中的集体相干共振

分析了量子点半导体激光器模型在光注入和光反馈作用下形成的光神经元的动力学特性。系统地扫描了由光学注入的注入强度和频率失谐所跨越的参数空间，并发现了引起复杂场景的分叉边界的调制，这为将光学设置引入为光学神经元提供了新的机会。还发现了光反馈下单驱动光神经元的不同设置的相干共振的违反直觉行为。根据结果​​，微观激励的量子点激光速率方程模型被简化为低注入强度的鞍节点无限周期 (SNIPER) 分叉的标准形式，并研究了全局耦合设置中的四个此类 SNIPER 系统的网络。观察到一种新现象，称为集体相干共振。这种新颖的动力学行为与网络范围的 SNIPER 分叉和同步流形稳定性变化的共存有关，通过主稳定性函数进行分析。