Cottrell M
UA 743 CNRS Statistique Appliquée, Université Paris XI, Orsay, France.
Biol Cybern. 1988;58(2):129-39. doi: 10.1007/BF00364159.
We focus on stable and attractive states in a network having two-state neuron-like elements. We calculate the connection matrix which guarantees the stability and the strongest attractivity of p memorized patterns. We present an analytical evaluation of the patterns' attractivity. These results are illustrated by some computer simulations.
我们关注具有双态神经元样元件的网络中的稳定且有吸引力的状态。我们计算连接矩阵,该矩阵可确保p个记忆模式的稳定性和最强吸引力。我们对模式的吸引力进行了分析评估。通过一些计算机模拟对这些结果进行了说明。