Segev Ronen, Benveniste Morris, Hulata Eyal, Cohen Netta, Palevski Alexander, Kapon Eli, Shapira Yoash, Ben-Jacob Eshel
School of Physics and Astronomy, Raymond & Beverly Sackler Faculty of Exact Sciences, Tel-Aviv University, Tel-Aviv 69978, Israel.
Phys Rev Lett. 2002 Mar 18;88(11):118102. doi: 10.1103/PhysRevLett.88.118102. Epub 2002 Mar 4.
We measured the long term spontaneous electrical activity of neuronal networks with different sizes, grown on lithographically prepared substrates and recorded with multi-electrode-array technology. The time sequences of synchronized bursting events were used to characterize network dynamics. All networks exhibit scale-invariant Lévy distributions and long-range correlations. These observations suggest that different-size networks self-organize to adjust their activities over many time scales. As predictions of current models differ from our observations, this calls for revised models.
我们测量了在光刻制备的基板上生长并采用多电极阵列技术记录的不同大小神经元网络的长期自发电活动。同步爆发事件的时间序列用于表征网络动态。所有网络均呈现尺度不变的 Lévy 分布和长程相关性。这些观察结果表明,不同大小的网络会自我组织,以在多个时间尺度上调整其活动。由于当前模型的预测与我们的观察结果不同,这就需要修订模型。