Existence and stability of persistent states in large neuronal networks

被引：91

作者：

Hansel, D

Mato, G

机构：

[1] Univ Paris 05, EP 1848 CNRS, Lab Neurophys & Physiol Syst Moteur, F-75270 Paris 06, France

[2] Ctr Atom Bariloche, Comis Nacl Energia Atom, San Carlos De Bariloche, Rio Negro, Argentina

[3] Ctr Atom Bariloche, CONICET, San Carlos De Bariloche, Rio Negro, Argentina

[4] CNEA, Inst Balseiro, San Carlos De Bariloche, Rio Negro, Argentina

[5] UNC, San Carlos De Bariloche, Rio Negro, Argentina

来源：

PHYSICAL REVIEW LETTERS | 2001年 / 86卷 / 18期

关键词：

D O I：

10.1103/PhysRevLett.86.4175

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We study the existence and stability of persistent states in large networks of quadratic integrate-and-fire neurons. The networks consist of two populations, one excitatory and one inhibitory. The stability of the asynchronous state is studied analytically. Our study demonstrates the role of recurrent inhibition and inhibitory-inhibitory interactions in stable persistent activity in large neuronal networks.

引用

页码：4175 / 4178

页数：4

共 27 条

[1] ASYNCHRONOUS STATES IN NETWORKS OF PULSE-COUPLED OSCILLATORS [J].