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Synchronous target mode decision mechanism of electrically coupled neuron system under asymmetric excitation
International Journal of Modern Physics B ( IF 2.6 ) Pub Date : 2020-07-10 , DOI: 10.1142/s0217979220502458
Guanping Wang 1 , Wei Sun 1 , Suyu Liu 2 , Wanxia Yang 1
Affiliation  

Due to the universality of asymmetric coupling-excitation in neuronal system and the important role of firing pattern in neural information coding and transmission, synchronous target mode decision mechanism of electrically coupled neuron system under asymmetric excitation is studied in this paper. In the beginning, based on an asymmetric excitation system with symmetrical coupling, according to the phenomenon that Interval Spike Intervals Sequence (ISI) can coincide with the ISIs of a single neuron stimulated by a certain current, the concept of ‘virtual equivalent symmetrical stimulus current’ is put forward. Furthermore, it is also found that there is no relationship between the steady-state synchronous target mode and the coupling strength of symmetric coupled system under this situation. However, the following experiments of asymmetric coupling-excitation system show that there is a strong internal relationship between the almost complete synchronous stable firing mode and coupling strength as well as exciting currents. According to the experimental conclusion, a qualitative criterion is proposed, and then, on the basis that the system can be fully synchronized, the decision-making quantitative basis of the steady-state synchronization target mode of the given system is derived strictly. This study has important reference value for understanding the working state transition of neuronal system.

中文翻译:

不对称激励下电耦合神经元系统的同步目标模式决策机制

由于非对称耦合-激励在神经元系统中的普遍性以及放电模式在神经信息编码和传输中的重要作用,本文研究了非对称激励下电耦合神经元系统的同步目标模式决策机制。一开始,基于对称耦合的非对称激励系统,根据区间尖峰区间序列(Interval Spike Intervals Sequence,ISI)可以与单个神经元受一定电流刺激的ISI重合的现象,提出了“虚拟等效对称刺激电流”的概念。 '被提出。此外,还发现在这种情况下,稳态同步目标模式与对称耦合系统的耦合强度没有关系。然而,下面对非对称耦合-励磁系统的实验表明,几乎完全同步的稳定点火模式与耦合强度和励磁电流之间存在很强的内在关系。根据实验结论提出定性判据,然后在系统可以完全同步的基础上,严格推导给定系统稳态同步目标模式的决策定量依据。本研究对于理解神经元系统的工作状态转换具有重要的参考价值。提出了一个定性准则,然后在系统可以完全同步的基础上,严格推导给定系统稳态同步目标模式的决策定量依据。本研究对于理解神经元系统的工作状态转换具有重要的参考价值。提出了一个定性准则,然后在系统可以完全同步的基础上,严格推导给定系统稳态同步目标模式的决策定量依据。本研究对于理解神经元系统的工作状态转换具有重要的参考价值。
更新日期:2020-07-10
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