Borisyuk R M, Borisyuk G N
Institute of Mathematical Problems of Biology, Russian Academy of Sciences Pushchino, Moscow Region.
Biosystems. 1997;40(1-2):3-10. doi: 10.1016/0303-2647(96)01624-3.
Three types of oscillatory neural networks are considered and their dynamics are analyzed. The regime of chaotic coherent oscillations was found in a network of excitatory and inhibitory integrate-and-fire neurons with all-to-all connections. The regime of envelope oscillations was found in a chain of neural oscillators with local connections. The regime of partial synchronization of the central element with a group of peripheral oscillators under perturbation of the rest of the peripheral oscillators was found in the oscillatory neural network of phase oscillators. A possible use of the dynamical regimes for the information coding and processing is briefly discussed.
考虑了三种类型的振荡神经网络，并对其动力学进行了分析。在具有全连接的兴奋性和抑制性积分发放神经元网络中发现了混沌相干振荡状态。在具有局部连接的神经振荡器链中发现了包络振荡状态。在相位振荡器的振荡神经网络中，发现了在其余外围振荡器受到扰动时，中心元件与一组外围振荡器的部分同步状态。简要讨论了这些动力学状态在信息编码和处理中的可能应用。
