Dynamical neural network model of hippocampus with excitatory and inhibitory neurons

被引：0

作者：

Omori, T ^{[1
]}

Horiguchi, T ^{[1
]}

机构：

[1] Tohoku Univ, Grad Sch Informat Sci, Dept Comp & Math Sci, Sendai, Miyagi 9808579, Japan

来源：

JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN | 2004年 / 73卷 / 03期

关键词：

dynamical neural network model; memory recall; hippocampus; inhibitory neurons; dynamical patterns;

D O I：

10.1143/JPSJ.73.749

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We propose a dynamical neural network model with excitatory neurons and inhibitory neurons for memory function in hippocampus and investigate the effect of inhibitory neurons on memory recall. The results by numerical simulations show that the introduction of inhibitory neurons improves the stability of the memory recall in the proposed model by supppressing the bursting of neurons.

引用

页码：749 / 755

页数：7

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