论文标题
小（n〜10000）皮质网络的动力学中无标度的相关性
Scale-free correlations in the dynamics of a small (N ~ 10000) cortical network
论文作者
论文摘要
新型光学生物技术的出现允许以前所未有的分辨率记录大脑活动。这些非常大的数据集的表征提供了新的挑战以及独特的理论测试机会。在这里，我们讨论了数千个神经元的集体活性的空间和时间相关性是否如关键现象理论所预测的那样。分析表明，相关长度$ξ$和相关时间$τ$比例根据系统大小的函数所预测的。通过我们讨论的一些特殊性，该分析发现了与大规模脑皮质动力学对应于关键现象的观点一致的新证据。
The advent of novel opto-genetics technology allows the recording of brain activity with a resolution never seen before. The characterisation of these very large data sets offers new challenges as well as unique theory-testing opportunities. Here we discuss whether the spatial and temporal correlation of the collective activity of thousands of neurons are tangled as predicted by the theory of critical phenomena. The analysis shows that both, the correlation length $ξ$ and the correlation time $τ$ scale as predicted as a function of the system size. With some peculiarities that we discuss, the analysis uncovers new evidence consistent with the view that the large scale brain cortical dynamics corresponds to critical phenomena.
