Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons
Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons
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DOI：
10.1023/a:1008925309027
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发表时间：
2000-05-01
影响因子：
1.2
通讯作者：
Brunel, N
中科院分区：
文献类型：
--
作者：
Brunel, N
解析地研究了稀疏连接的兴奋性和抑制性整合与激发神经元网络的动力学。分析揭示了一系列丰富的状态，包括神经元定期放电的同步状态；全局活动静止且个别细胞活动非常不规则的异步状态；以及整体活动振荡但个别细胞不规则放电的板岩状态，其频率通常低于全局振荡频率。如果外部频率或激励和抑制之间的平衡发生变化，网络可以在这些状态之间切换。观察到两种类型的网络振荡。在快速振荡状态下，网络频率几乎完全受突触时间尺度的控制。在慢振荡状态下，网络频率主要取决于膜时间常数。还讨论了异步态的有限尺寸效应。
The dynamics of networks of sparsely connected excitatory and inhibitory integrate-and-fire neurons are studied analytically. The analysis reveals a rich repertoire of states, including synchronous states in which neurons fire regularly; asynchronous states with stationary global activity and very irregular individual cell activity; and slates in which the global activity oscillates but individual cells fire irregularly, typically at rates lower than the global oscillation frequency. The network can switch between these states, provided the external frequency, or the balance between excitation and inhibition, is varied. Two types of network oscillations are observed. In the fast oscillatory state, the network frequency is almost fully controlled by the synaptic time scale. In the slow oscillatory state, the network frequency depends mostly on the membrane time constant. Finite size effects in the asynchronous state are also discussed.