Dynamic neural cortical ensembles model

被引：0
|
作者：
A. Reznik
D. Dziuba
机构：
[1] NAS of Ukraine,Institute of Mathematical Machines and Systems
来源：
Optical Memory and Neural Networks | 2012年 / 21卷 / 3期
关键词：
neuron; spike; associative memory; mathematical model; attractor; long-term memory;
D O I：
10.3103/S1060992X12030046
中图分类号：
学科分类号：
摘要：
One-layered model of cortical neurons as a set of overlapping ensembles, each with a structure similar to Hopfield network, is proposed. Ensemble equilibrium equation is solved and formulas for connections weights calculation for given set of attractors are obtained. Concept of dynamic attractors that consists of consequent recalling of stored patterns with moving activity through the network is introduced. Role of dynamic attractors in long-term memory is discussed and mechanism for memory recovery after destruction of some neurons is proposed. Results of experiments on associative memory recovery after partial removal of neurons are shown.
引用
收藏
页码：159 / 165
页数：6
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