SYNCHRONY MEASURES FOR BIOLOGICAL NEURAL NETWORKS
SYNCHRONY MEASURES FOR BIOLOGICAL NEURAL NETWORKS
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DOI：
10.1007/bf00204051
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发表时间：
1995-07-01
影响因子：
1.9
通讯作者：
RINZEL, J
中科院分区：
文献类型：
--
作者：
PINSKY, PF;RINZEL, J
在许多实验准备中已经观察到神经元群体的同步放电;此外，各种数学神经网络模型已经被证明，分析或数值，包含稳定的同步解决方案。为了评估特定网络在某个时间间隔上的同步水平，需要同步的定量测量。我们在这里开发各种同步措施，只利用神经元的尖峰时间，这些措施适用于实验情况和计算机模型。使用海马CA 3区的数学模型，我们评估这些同步措施，并将它们与网络活动的图形表示进行比较。我们说明了如何同步丢失和同步措施的变化，细胞之间的异质性增加。不同类别的网络解决方案的同步措施的理论预期值的推导和仿真结果进行比较。
Synchronous firing of a population of neurons has been observed in many experimental preparations; in addition, various mathematical neural network models have been shown, analytically or numerically, to contain stable synchronous solutions. In order to assess the level of synchrony of a particular network over some time interval, quantitative measures of synchrony are needed. We develop here various synchrony measures which utilize only the spike times of the neurons; these measures are applicable in both experimental situations and in computer models. Using a mathematical model of the CA3 region of the hippocampus, we evaluate these synchrony measures and compare them with pictorial representations of network activity. We illustrate how synchrony is lost and synchrony measures change as heterogeneity amongst cells increases. Theoretical expected values of the synchrony measures for different categories of network solutions are derived and compared with results of simulations.