A great deal of research has been devoted on the investigation of neural dynamics in various network topologies. However, only a few studies have focused on the influence of autapses, synapses from a neuron onto itself via closed loops, on neural synchronization. Here, we build a random network with adaptive exponential integrate-and-fire neurons coupled with chemical synapses, equipped with autapses, to study the effect of the latter on synchronous behavior. We consider time delay in the conductance of the pre-synaptic neuron for excitatory and inhibitory connections. Interestingly, in neural networks consisting of both excitatory and inhibitory neurons, we uncover that synchronous behavior depends on their synapse type. Our results provide evidence on the synchronous and desynchronous activities that emerge in random neural networks with chemical, inhibitory and excitatory synapses where neurons are equipped with autapses.

中文翻译：

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自动突触对神经网络与化学突触同步的影响

大量研究致力于研究各种网络拓扑中的神经动力学。然而，只有少数研究关注自发性，即通过闭环从神经元到自身的突触对神经同步的影响。在这里，我们构建了一个随机网络，该网络具有自适应指数积分和激发神经元，并带有化学突触，配备了自触发，以研究后者对同步行为的影响。我们考虑了兴奋性和抑制性连接的突触前神经元电导的时间延迟。有趣的是，在由兴奋性和抑制性神经元组成的神经网络中，我们发现同步行为取决于它们的突触类型。