Pantic Lovorka, Torres Joaquín J, Kappen Hilbert J, Gielen Stan C A M
Department of Biophysics, University of Nijmegen, 6525 EZ Nijmegen, The Netherlands.
Neural Comput. 2002 Dec;14(12):2903-23. doi: 10.1162/089976602760805331.
We have examined a role of dynamic synapses in the stochastic Hopfield-like network behavior. Our results demonstrate an appearance of a novel phase characterized by quick transitions from one memory state to another. The network is able to retrieve memorized patterns corresponding to classical ferromagnetic states but switches between memorized patterns with an intermittent type of behavior. This phenomenon might reflect the flexibility of real neural systems and their readiness to receive and respond to novel and changing external stimuli.
我们研究了动态突触在类随机霍普菲尔德网络行为中的作用。我们的结果表明出现了一种新的相,其特征是从一个记忆状态快速转变到另一个记忆状态。该网络能够检索与经典铁磁态相对应的记忆模式,但在记忆模式之间以间歇性行为进行切换。这种现象可能反映了真实神经系统的灵活性以及它们接收和响应新的和不断变化的外部刺激的准备状态。