Chen Wenjuan, Li Xiangning, Pu Jiangbo, Luo Qingming
Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Jun;81(6 Pt 1):061903. doi: 10.1103/PhysRevE.81.061903. Epub 2010 Jun 1.
Using multiple nonlinear techniques, we revealed the existence of chaos in the spontaneous activity of neuronal networks in vitro. The spatial-temporal dynamics of these networks indicated that emergent transition between chaotic behavior and superburst occurred periodically in low-frequency oscillations. An analysis of network-wide activity indicated that chaos was synchronized among different sites. Moreover, we found that the degree of chaos increased as the number of active sites in the network increased during long-term development (over three months in vitro). The chaotic behavior of the dissociated networks had similar spatial-temporal characteristics (rapid transition, periodicity, and synchronization) as the intact brain; however, the degree of chaos depended on the number of active sites at the mesoscopic level. This work could provide insight into neural coding and neurocybernetics.
我们运用多种非线性技术，揭示了体外神经元网络自发活动中混沌的存在。这些网络的时空动态表明，在低频振荡中，混沌行为与超级爆发之间的突发转变会周期性发生。对全网络活动的分析表明，混沌在不同位点之间是同步的。此外，我们发现，在长期发育过程中（体外培养超过三个月），随着网络中活跃位点数量的增加，混沌程度也会增加。解离网络的混沌行为与完整大脑具有相似的时空特征（快速转变、周期性和同步性）；然而，混沌程度取决于介观水平上的活跃位点数量。这项工作可为神经编码和神经控制论提供见解。
