Institute for Theoretical Physics I, Center of Synergetics, University of Stuttgart, Stuttgart, 70550, Germany,
Cogn Neurodyn. 2007 Mar;1(1):15-25. doi: 10.1007/s11571-006-9005-6.
A neural net model describing the non-linear interactions between axonal spikes is presented. It reconciles aspects of pattern recognition (as action of an associative memory) with those of spike synchronization and phase locking. The stability of the synchronized state is studied in detail.
提出了一个描述轴突尖峰之间非线性相互作用的神经网络模型。它将模式识别的方面（作为联想记忆的作用）与尖峰同步和相位锁定的方面协调起来。详细研究了同步状态的稳定性。
