Neural networks as spatio-temporal pattern-forming systems

被引：447

作者：

Ermentrout, B ^{[1
]}

机构：

[1] Univ Pittsburgh, Dept Math, Pittsburgh, PA 15260 USA

来源：

REPORTS ON PROGRESS IN PHYSICS | 1998年 / 61卷 / 04期

关键词：

D O I：

10.1088/0034-4885/61/4/002

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Models of neural networks are developed from a biological point of view. Small networks are analysed using techniques from dynamical systems. The behaviour of spatially and temporally organized neural fields is then discussed from the point of view of pattern formation. Bifurcation methods, analytic solutions and perturbation methods are applied to these models.

引用

页码：353 / 430

页数：78

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