混响的产生原理
Principles for generation of reverberation
摘要：
在现代神经科学中，记忆被假定为以序列脉冲序列的形式存储在神经回路中，混响就是其中的一个具体例子。然而，混响的机理还不清楚。在这项研究中，结合电生理记录和数值模拟，我们证实了一个以前未实现的神经元属性，是必要的爆发产生混响。其次，我们从网络拓扑结构和神经递质的非同步释放两个方面，对序列模式的产生机制进行了深入的研究。此外，我们还开发了一个管道，可以设计网络火灾手动设置顺序。第三，我们探讨了STDP学习的动力学，并追踪了STDP规则在混响中的作用。有了这些理解，我们开发了一个基于STDP的学习规则，可以驱动网络记住任何预设的序列。这些结果表明，神经元电路可以通过STDP规则记忆畸形。这些信息存储在突触连接中。通过这种方式，动物记忆信息的尖峰序列模式。
英文摘要：
In modern neuroscience, memory has been postulated to stored in neural circuits as sequential spike train and Reverberation is one of the specific example.Former research has made much progress on phenomenon description. However, the mechanism of reverberation has been unclear yet. In this study, combining electrophysiological record and numerical simulation, we confirmed a formerly unrealized neuron property that is necessary for the burst generation in reverberation. Secondly, we find out the mechanism of sequential pattern generation which clearly explained by network topology and asynchronous neurotransmitter release. In addition, we also developed a pipeline that could design the network fire in manually set order. Thirdly, we explored the dynamics of STDP learning and chased down the effects of STDP Rule in reverberation. With these understandings, we developed a STDP based learning rule which could drive the network to remember any presupposed sequence. These results indicated that neuron circuit can remember malformation through STDP rule. Those information are stored in synapse connections. By this way, animals remember information as spike sequence pattern.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
