Neuro-spike communication (NSC) is a communication method that includes electrical communication process and molecular communication process, which has been investigated extensively in recent years. The vesicle release process has a great influence on the accuracy of NSC systems. So the modeling of the vesicle release process has become a hot spot. There exist different vesicle release mechanisms, including univesicular release (UVR) case, multivesicular release (MVR) case and hybrid vesicle release (HVR) case. When a spike arrives, the UVR case refers to that at most one vesicle can be released. The MVR case refers to that more than one vesicle can be released. The HVR case is a mixed case of the UVR and MVR cases. This paper proposes the modeling of these three vesicle release cases. The theoretical analysis is conducted to compare them in terms of efficiency. Simulations are performed to evaluate the impacts of main vesicle releasing parameters on signal transmission accuracy. The simulation results show that the HVR model can effectively improve the transmission accuracy compared with UVR and MVR models under some conditions.

中文翻译：

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神经尖峰通讯中囊泡释放机制的建模和评估


神经尖峰通讯（NSC）是一种包括电通讯过程和分子通讯过程的通讯方式，近年来得到广泛研究。囊泡释放过程对NSC系统的准确性有很大影响。因此囊泡释放过程的建模成为了研究热点。存在不同的囊泡释放机制，包括单囊泡释放（UVR）情况、多囊泡释放（MVR）情况和混合囊泡释放（HVR）情况。当峰值到来时，UVR 情况是指最多可以释放一个囊泡。 MVR情况是指可以释放多个囊泡。 HVR 情况是 UVR 和 MVR 情况的混合情况。本文提出了这三种囊泡释放情况的建模。进行理论分析以比较它们的效率。进行模拟以评估主要囊泡释放参数对信号传输准确性的影响。仿真结果表明，在一定条件下，HVR模型相比UVR和MVR模型能够有效提高传输精度。