The structure of spiking activity in cortical networks has important implications for how the brain ultimately codes sensory signals. However, our understanding of how network and intrinsic cellular mechanisms affect spiking is still incomplete. In particular, whether cell pairs in a neural network show a positive (or no) relationship between pairwise spike count correlation and average firing rate is generally unknown. This relationship is important because it has been observed experimentally in some sensory systems, and it can enhance information in a common population code. Here we extend our prior work in developing mathematical tools to succinctly characterize the correlation and firing rate relationship in heterogeneous coupled networks. We find that very modest changes in how heterogeneous networks occupy parameter space can dramatically alter the correlation–firing rate relationship.

中文翻译：

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研究异构递归网络中的相关激发率关系。

皮质网络中的尖峰活动结构对大脑最终编码感觉信号的方式具有重要意义。但是，我们对网络和固有细胞机制如何影响突波的理解仍然不完整。特别地，通常不知道神经网络中的细胞对在成对的尖峰计数相关性和平均发射率之间是否显示正（或无）关系。这种关系很重要，因为在某些感觉系统中已通过实验观察到它，并且可以增强通用人口代码中的信息。在这里，我们扩展了开发数学工具的先期工作，以简洁地描述异构耦合网络中的相关性和点火速率关系。