当前位置: X-MOL 学术Neural Plast. › 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.)
High-Frequency Synchronization Improves Firing Rate Contrast and Information Transmission Efficiency in E/I Neuronal Networks
Neural Plasticity ( IF 3.0 ) Pub Date : 2020-11-09 , DOI: 10.1155/2020/8823111
Fang Han 1 , Zhijie Wang 1 , Hong Fan 2 , Yaopeng Zhang 3
Affiliation  

High-frequency synchronization has been found in many real neural systems and is confirmed by excitatory/inhibitory (E/I) network models. However, the functional role played by it remains elusive. In this paper, it is found that high-frequency synchronization in E/I neuronal networks could improve the firing rate contrast of the whole network, no matter if the network is fully connected or randomly connected, with noise or without noise. It is also found that the global firing rate contrast enhancement can prevent the number of spikes of the neurons measured within the limited time window from being confused by noise, thereby enhancing the information encoding efficiency (quantified by entropy theory here) of the neuronal system. The mechanism of firing rate contrast enhancement is also investigated. Our work implies a possible functional role in information transmission of high-frequency synchronization in neuronal systems.

中文翻译:

高频同步提高 E/I 神经元网络的射速对比度和信息传输效率

在许多真实的神经系统中都发现了高频同步,并通过兴奋/抑制 (E/I) 网络模型得到证实。然而,它所发挥的功能作用仍然难以捉摸。在本文中,发现 E/I 神经元网络中的高频同步可以提高整个网络的发射率对比度,无论网络是全连接还是随机连接,有噪声还是无噪声。还发现全局放电率对比度增强可以防止在有限时间窗口内测量的神经元的尖峰数被噪声混淆,从而提高神经元系统的信息编码效率(这里用熵理论量化)。还研究了燃烧率对比度增强的机制。
更新日期:2020-11-12
down
wechat
bug