de Arcangelis Lucilla, Perrone-Capano Carla, Herrmann Hans J
Dept. of Information Engineering and CNISM, Second University of Naples, 81031 Aversa (CE), Italy.
Phys Rev Lett. 2006 Jan 20;96(2):028107. doi: 10.1103/PhysRevLett.96.028107. Epub 2006 Jan 19.
Networks of living neurons exhibit an avalanche mode of activity, experimentally found in organotypic cultures. Here we present a model that is based on self-organized criticality and takes into account brain plasticity, which is able to reproduce the spectrum of electroencephalograms (EEG). The model consists of an electrical network with threshold firing and activity-dependent synapse strengths. The system exhibits an avalanche activity in a power-law distribution. The analysis of the power spectra of the electrical signal reproduces very robustly the power-law behavior with the exponent 0.8, experimentally measured in EEG spectra. The same value of the exponent is found on small-world lattices and for leaky neurons, indicating that universality holds for a wide class of brain models.
活神经元网络呈现出一种雪崩式的活动模式，这在器官型培养物中通过实验发现。在此，我们提出一个基于自组织临界性并考虑大脑可塑性的模型，该模型能够重现脑电图（EEG）的频谱。该模型由一个具有阈值激发和活动依赖突触强度的电网络组成。该系统在幂律分布中呈现雪崩活动。对电信号功率谱的分析非常稳健地重现了指数为0.8的幂律行为，这是在EEG频谱中通过实验测量得到的。在小世界晶格和漏电神经元中也发现了相同的指数值，表明普遍性适用于广泛的脑模型类别。
