当前位置: X-MOL 学术Nano. Commun. Netw. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Energy model for synaptic channel in neuro-spike communication
Nano Communication Networks ( IF 2.9 ) Pub Date : 2019-01-18 , DOI: 10.1016/j.nancom.2019.01.004
Zhen Cheng , Yiming Zhang , Huiting Zhao , Fei Lin , Kaikai Chi

The neuro-spike communication (NSC) is inspired by electrochemical communication among biological neurons. In this paper, considering that the energy consumption has important effects on the performance of NSC system, an energy model for the synaptic channel in a point-to-point NSC system is first proposed. Then the energy efficiency which is defined as the channel capacity per unit energy consumption for one spike transmission is analyzed. The numerical results demonstrate that the main parameters including the vesicle release probability, the optimal threshold, the number of the neurotransmitters contained in one vesicle and the side length of the region in which the receptors are located have different impacts on total energy consumption and channel capacity. More importantly, the vesicle release probability is the key factor of energy efficiency. The setting of these system parameters can be used to provide guidelines for designing energy efficient NSC systems.



中文翻译:

神经突峰沟通中突触通道的能量模型

神经峰值通信(NSC)受生物神经元之间的电化学通信的启发。考虑到能量消耗对NSC系统的性能有重要影响,本文首先提出了一种点对点NSC系统中突触通道的能量模型。然后分析能量效率,定义为一次尖峰传输的每单位能耗的信道容量。数值结果表明,囊泡释放概率,最佳阈值,一个囊泡中神经递质的数量以及受体所在区域的边长等主要参数对总能量消耗和通道容量有不同的影响。 。更重要的是,囊泡释放的可能性是能量效率的关键因素。这些系统参数的设置可用于提供设计节能NSC系统的指南。

更新日期:2019-01-18
down
wechat
bug