Klinshov V V, Nekorkin V I
Nonlinear Dynamics Department, Institute of Applied Physics RAS, 603950 Nizhny Novgorod, Russia.
Network. 2008;19(2):119-35. doi: 10.1080/09548980801895452.
A mathematical model of working memory is proposed in the form of a network of neuron-like units interacting via global inhibitory feedback. This network is capable of storing information items in the form of clusters of periodical spiking activity. Several sequentially excited clusters can coexist simultaneously, corresponding to several items stored in the memory. The capacity of the memory is studied as the function of the system parameters.
提出了一种工作记忆的数学模型，其形式为通过全局抑制性反馈相互作用的类神经元单元网络。该网络能够以周期性尖峰活动簇的形式存储信息项。几个顺序激发的簇可以同时共存，对应于存储在记忆中的几个项目。研究了记忆容量作为系统参数的函数。
